NLP Jobs in Seattle.
All active NLP roles based in Seattle.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Commercial Counsel, Crypto
Share this job
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
As Commercial Counsel primarily supporting Stripe’s Stablecoin & Crypto team, you will lead complex commercial and contractual negotiations, advise on product launches, and help scale Stripe’s legal and operational infrastructure. You will work closely with Sales, Product Legal, Partnerships, Risk, Tax, Operations, and external counsel to enable safe, compliant, and commercially sound growth of Stripe’s crypto, stablecoin, and wallet offerings.
We are committed to building an inclusive work environment where all Stripes feel welcomed as their authentic selves—inclusive of all genders, sexual orientations, ethnicities, races, education, ages, and other personal characteristics. We work on broadening our internal diversity because we want to be culturally equipped to build products and solutions for our diverse user base.
What you’ll do
Responsibilities
- Support the Sales team, with particular focus on Stripe’s Stablecoin & Crypto team, leading negotiations and advising on a wide range of commercial and legal issues
- Work closely with Product Legal to bring new products and features to market, including drafting service terms and providing contractual, commercial, and user-experience advice for launches
- Be an integral part of the build out of Stripe’s commercial legal infrastructure to enable scalable, efficient operations in line with Stripe’s growth. This includes advising on the contractual integration of services provided by Stripe’s cryptocurrency, stablecoin, and wallet infrastructure acquisitions (including Bridge and Privy), drafting and maintaining agreements and playbooks, and leading or contributing to projects that improve internal processes and operational efficiencies, including by leveraging AI tooling
- Partner with teams across Stripe, including Sales, Partnerships, Operations, Product, Tax, and Risk groups, to align legal solutions with business priorities
- Serve as a proactive and strategic business partner to senior managers and act as a trusted advisor on commercial strategy and risk
- Develop and deliver training, playbooks, and other resources to help the Sales team sell our products confidently and compliantly
- Act as a point of escalation for outside counsel and manage outside counsel relationships when matters require external expertise
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- Intellectually curious and a creative problem solver: you relish learning new products and finding creative solutions to complex and evolving legal and commercial problems
- Exceptional drafting skills, with experience in creating services terms or SaaS agreements in addition to deal negotiation drafting
- A self-starter with a bias for action: you are proactive and take ownership to move matters forward
- A clear and concise communicator (written and verbal): you can distill key risks and explain nuanced issues in plain, simple terms for commercial and technical stakeholders
- A natural collaborator: you can guide cross-functional teams toward practical, win-win outcomes
- Familiar with the legal issues and commercial risks arising in connection with hosted data and technology services
- Passionate about technology and able to understand complex business models and product use cases quickly
- A team player willing to do what it takes to contribute to collective success
- Qualified with good standing membership in at least one US state bar with a JD or foreign equivalent
- 6+ years of relevant experience in-house or in a technology practice group at a top law firm
Preferred qualifications
- Direct experience advising on, drafting service terms for, and negotiating transactions involving cryptocurrency, stablecoin, or traditional money-movement products, particularly on a global basis
- Experience in payments or fintech and familiarity with related regulatory frameworks
- Working knowledge of LLM tools and experience in improving legal processes with AI technology
- Prior in-house experience advising high-growth technology companies
- Working knowledge of data protection and privacy regimes such as CCPA, GDPR, and HIPAA
Ready to apply?
Apply to Stripe
Machine Learning Research Scientist, Reasoning
Share this job
About Scale
At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations.
About This Role
This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale’s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.
Ideally, you’d have:
-
Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes.
-
A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.).
-
At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning.
-
Strong written and verbal communication skills, along with the ability to work effectively across teams.
Nice to have:
-
Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX.
-
Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents.
-
Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar.
-
Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH.
-
Proficiency in cloud-based ML development, with experience in AWS or GCP environments.
Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIStaff Machine Learning Research Scientist, LLM Evals
Share this job
As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities.
Our Research teams work with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs.
You will:
- Drive research on the effectiveness and limitations of existing LLM evaluation techniques.
- Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness.
- Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
- Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols.
- Implement scalable and reproducible evaluation pipelines using modern ML frameworks.
- Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives.
- Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects.
- Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science.
- Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.
Ideally you'd have:
- 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
- Experience and track of recording in landing major research impacts in a fast-paced environment
- Experience tech leading a team of research scientists and research engineers
- Excellent written and verbal communication skills
- Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
- Previous experience in a customer facing role.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AITech Lead/Manager, Machine Learning Research Scientist- LLM Evals
Share this job
As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities.
Our Research teams work with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs.
You will:
- Lead a team of highly effective research scientists and research engineers on LLM evals.
- Conduct research on the effectiveness and limitations of existing LLM evaluation techniques.
- Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness.
- Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
- Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols.
- Implement scalable and reproducible evaluation pipelines using modern ML frameworks.
- Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives.
- Remain up-to-date on ongoing research in the team, help work through technical challenges, and be involved in design decisions
- Remain deeply involved in the research community, both understanding trends, and setting them
- Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.
Ideally you'd have:
- 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
- Experience and track of recording in landing major research impacts in a fast-paced environment
- Experience supporting and leading a team of research scientists and research engineers
- Excellent written and verbal communication skills
- Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
- Previous experience in a customer facing role.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AILocation Details:
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.
Join our Team...
Our team is a part of the Airo Growth and Innovation within GoDaddy, and we are looking to have a principal AI / machine learning scientist join this core Applied ML team. Our goal is to build and grow a community of ML scientists and engineers to learn, share and grow. We are committed to understanding all major business units very closely and we thrive to empower business results by leveraging AI and state-of-the-art ML algorithms.
This core Applied AI and Machine Learning team utilizes large-scale data to power various business areas, and our goal is to create cohesive navigation experience across channels and web pages, to help simplify and enhance the shopping experience for everyday entrepreneurs across the world to quickly find what they need on our website.
We are seeking a highly experienced AI/ML Scientist to lead research and development in Agentic AI systems and Reinforcement Learning (RL). This role focuses on designing intelligent agents capable of autonomous decision-making, planning, and reasoning in complex environments. You will work at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, driving innovation for next-generation AI products.
What you'll get to do...
- Lead research and development of advanced Reinforcement Learning algorithms including policy optimization, hierarchical RL, and multi-agent RL systems.
- Design and implement agentic architectures that enable autonomous reasoning, planning, and sophisticated tool use.
- Pioneer the integration of Large Language Models with RL to create adaptive, goal-driven AI behaviors.
- Formulate hypotheses and conduct large-scale experiments to continuously improve agent performance and capabilities.
- Build sophisticated simulation environments for testing agentic behaviors and reward strategies.
- Leverage large-scale data to create cohesive navigation experiences that simplify shopping for entrepreneurs worldwide.
- Partner with product and engineering teams to translate breakthrough research into production-ready AI solutions.
- Mentor and develop junior scientists and engineers on RL and agentic AI best practices.
- Drive innovation across major business units by applying state-of-the-art ML algorithms to real-world challenges.
Your experience should include...
- Strong background in both machine learning/NLP and software development with hands-on Deep Neural Network experience.
- Proven expertise in Reinforcement Learning algorithms and autonomous agent design.
- Advanced algorithm design and programming skills in low-level languages (C++/Java) and scripting languages (Python/R/Scala).
- Experience working with live data including data cleaning, visualization, and modeling.
- Experience with distributed computing frameworks (Hadoop/Spark).
- Track record of solving meaningful real-world problems using principled ML techniques.
You might also have...
- PhD (Preferred) in Machine Learning, Artificial Intelligence, or related field with focus on Reinforcement Learning.
- Publications in top-tier AI/ML conferences (NeurIPS, ICML, ICLR, AAAI, ACL, etc.).
- Experience with multi-agent systems and game-theoretic approaches.
- Background in integrating foundation models with traditional RL frameworks.
- Contributions to open-source AI/ML projects or frameworks.
- Experience deploying ML models at scale in production environments.
- Track record of mentoring and developing technical talent.
We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com.
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.
Compensation & Benefits:
What We Offer:
Working at GoDaddy offers many benefits, including competitive pay, generous time off, parental and wellness leave, healthcare, retirement savings program, and much more. Offerings vary by location.
This role is eligible for a comprehensive benefits package, which includes medical, dental, and vision insurance, a 401(k)-retirement plan, paid sick time, paid flexible time off, paid parental leave, life insurance, short- and long-term disability, AD&D insurance, mental health or EAP programs, remote or hybrid work options, paid holidays, paid Wellness days, tuition assistance, adoption, surrogacy, and fertility benefits, dependent daycare and backup care benefits, Employee stock purchase plan, financial education and advice; and other benefits in accordance with GoDaddy’s benefit plans and applicable law.
Actual compensation and benefits eligibility will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Compensation:
The estimated pay ranges for this role are listed below. In addition to base pay, this role may be eligible for other forms of compensation, which may include a corporate bonus and/or equity awards, subject to the terms of applicable plans and individual eligibility.
Ready to apply?
Apply to GoDaddy
About the Team
As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.
Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.
Why This Role
Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.
If you want to define what analytics looks like in an AI-first company, this is it.
What You'll Do
Build Proactive Intelligence Systems
- Design and deploy AI agents that monitor business performance and surface actionable insights without being asked
- Architect systems that shift analytics from "answering questions" to "anticipating needs"
- Create intelligent alerting that distinguishes signal from noise and recommends specific actions
Create AI-Powered Analytics Tools
- Develop natural language interfaces that let business leaders query data conversationally
- Build semantic layers that translate business concepts into data structures optimized for LLM reasoning
- Ship internal tools that transform how Opendoor makes decisions at every level
Own the Analytics-to-Action Pipeline
- Design data models that support automated analysis, pattern detection, and AI agent interactions
- Build workflows that connect insight generation to recommended actions
- Establish feedback loops that make our AI systems smarter over time
Drive Leverage Across the Business
- Identify high-value opportunities where AI can augment human decision-making
- Implement end-to-end solutions using Claude, custom agents, and modern AI tooling
- Measure impact rigorously—we care about decisions influenced, not dashboards built
We're Looking for Teammates Who Have
Technical Foundation
- 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership
- Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption
- Strong Python proficiency for data engineering, automation, and AI agent development
- Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)
AI & Automation Expertise
- Hands-on experience building and deploying AI agents or LLM-powered applications in production
- Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
- Experience architecting semantic layers or natural language interfaces for data access
- Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions
Analytics & Business Acumen
- Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions
- Strong analytical intuition—you know what questions matter before they're asked
- Experience translating ambiguous, cross-functional business problems into technical solutions
- History of operating autonomously and setting direction, not just executing on defined projects
Leadership & Influence
- Experience mentoring other analysts or engineers, formally or informally
- Demonstrated ability to influence senior stakeholders and drive alignment across teams
- Comfort operating in ambiguity and shaping strategy, not just responding to it
- Track record of building systems and processes that scale beyond yourself
Builder Mindset
- You ship products, not just dashboards
- You'd rather build something useful in a week than something perfect in a quarter
- You measure success by business impact, not technical complexity
- You're energized by creating leverage—building once so others benefit forever
Bonus Points If You Have
- Experience in real estate, fintech, or marketplace businesses
- Background in marketing analytics, sales operations, product analytics, or pricing/economics
- History of building tools or platforms that replaced recurring analyst work
- Experience leading technical projects or small teams
The base pay range for this position based on level is $186,000 - $256,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
#LI-DM
Ready to apply?
Apply to Opendoor
About the Team
As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.
Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.
Why This Role
Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.
If you want to define what analytics looks like in an AI-first company, this is it.
What You'll Do
Build Proactive Intelligence Systems
-
Design and deploy AI agents that monitor business performance and surface actionable insights without being asked
-
Architect systems that shift analytics from "answering questions" to "anticipating needs"
-
Create intelligent alerting that distinguishes signal from noise and recommends specific actions
Create AI-Powered Analytics Tools
-
Develop natural language interfaces that let business leaders query data conversationally
-
Build semantic layers that translate business concepts into data structures optimized for LLM reasoning
-
Ship internal tools that transform how Opendoor makes decisions at every level
Own the Analytics-to-Action Pipeline
-
Design data models that support automated analysis, pattern detection, and AI agent interactions
-
Build workflows that connect insight generation to recommended actions
-
Establish feedback loops that make our AI systems smarter over time
Drive Leverage Across the Business
-
Identify high-value opportunities where AI can augment human decision-making
-
Implement end-to-end solutions using Claude, custom agents, and modern AI tooling
-
Measure impact rigorously—we care about decisions influenced, not dashboards built
We're Looking for Teammates Who Have
Technical Foundation
-
5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership
-
Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption
-
Strong Python proficiency for data engineering, automation, and AI agent development
-
Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)
AI & Automation Expertise
-
Hands-on experience building and deploying AI agents or LLM-powered applications in production
-
Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
-
Experience architecting semantic layers or natural language interfaces for data access
-
Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions
Analytics & Business Acumen
-
Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions
-
Strong analytical intuition—you know what questions matter before they're asked
-
Experience translating ambiguous, cross-functional business problems into technical solutions
-
History of operating autonomously and setting direction, not just executing on defined projects
Leadership & Influence
-
Experience mentoring other analysts or engineers, formally or informally
-
Demonstrated ability to influence senior stakeholders and drive alignment across teams
-
Comfort operating in ambiguity and shaping strategy, not just responding to it
-
Track record of building systems and processes that scale beyond yourself
Builder Mindset
-
You ship products, not just dashboards
-
You'd rather build something useful in a week than something perfect in a quarter
-
You measure success by business impact, not technical complexity
-
You're energized by creating leverage—building once so others benefit forever
Bonus Points If You Have
-
Experience in real estate, fintech, or marketplace businesses
-
Background in marketing analytics, sales operations, product analytics, or pricing/economics
-
History of building tools or platforms that replaced recurring analyst work
-
Experience leading technical projects or small teams
Ready to apply?
Apply to Opendoor
About the Team
As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.
Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.
Why This Role
Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.
If you want to define what analytics looks like in an AI-first company, this is it.
What You'll Do
Build Proactive Intelligence Systems
-
Design and deploy AI agents that monitor business performance and surface actionable insights without being asked
-
Architect systems that shift analytics from "answering questions" to "anticipating needs"
-
Create intelligent alerting that distinguishes signal from noise and recommends specific actions
Create AI-Powered Analytics Tools
-
Develop natural language interfaces that let business leaders query data conversationally
-
Build semantic layers that translate business concepts into data structures optimized for LLM reasoning
-
Ship internal tools that transform how Opendoor makes decisions at every level
Own the Analytics-to-Action Pipeline
-
Design data models that support automated analysis, pattern detection, and AI agent interactions
-
Build workflows that connect insight generation to recommended actions
-
Establish feedback loops that make our AI systems smarter over time
Drive Leverage Across the Business
-
Identify high-value opportunities where AI can augment human decision-making
-
Implement end-to-end solutions using Claude, custom agents, and modern AI tooling
-
Measure impact rigorously—we care about decisions influenced, not dashboards built
We're Looking for Teammates Who Have
Technical Foundation
-
5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership
-
Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption
-
Strong Python proficiency for data engineering, automation, and AI agent development
-
Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)
AI & Automation Expertise
-
Hands-on experience building and deploying AI agents or LLM-powered applications in production
-
Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
-
Experience architecting semantic layers or natural language interfaces for data access
-
Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions
Analytics & Business Acumen
-
Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions
-
Strong analytical intuition—you know what questions matter before they're asked
-
Experience translating ambiguous, cross-functional business problems into technical solutions
-
History of operating autonomously and setting direction, not just executing on defined projects
Leadership & Influence
-
Experience mentoring other analysts or engineers, formally or informally
-
Demonstrated ability to influence senior stakeholders and drive alignment across teams
-
Comfort operating in ambiguity and shaping strategy, not just responding to it
-
Track record of building systems and processes that scale beyond yourself
Builder Mindset
-
You ship products, not just dashboards
-
You'd rather build something useful in a week than something perfect in a quarter
-
You measure success by business impact, not technical complexity
-
You're energized by creating leverage—building once so others benefit forever
Bonus Points If You Have
-
Experience in real estate, fintech, or marketplace businesses
-
Background in marketing analytics, sales operations, product analytics, or pricing/economics
-
History of building tools or platforms that replaced recurring analyst work
-
Experience leading technical projects or small teams
Ready to apply?
Apply to Opendoor
Machine Learning Engineer
Share this job
MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem.
We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms. MORSE’s AI & ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE’s current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments.
Responsibilities:
- Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.
- Use MLOps tools for efficient experiment tracking, data management, and reproducibility
- Write robust, efficient, and maintainable code
- Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE
- Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models
Skills and Requirements:
- US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance
- Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field
- Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models
- Proven experience testing and validating the performance of AI technologies in real-world applications
- Proficiency in Python
- Experience with cloud platforms (AWS and Azure)
- Experience with Docker
- Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc.
- Exceptional communication skills and the ability to work well with customers
- Understanding of Department of Defense requirements and standards is a plus
MORSE Corp’s salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.
Employees also receive 10 paid holidays per year. MORSE maintains an “open” leave policy that does not restrict exempt, regular full-time employees to a specific number of paid sick or vacation days. However, this policy is not an “unlimited” paid leave policy.
The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit www.morsecorp.com.
Ready to apply?
Apply to MORSE Corp
Manager, Customer Success Engineering
Share this job
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.
As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.
This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.
The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.
What You’ll Do:
Team Leadership & Development
- Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
- Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
- Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
- Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
- Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
Strategic Customer Support
- Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
- Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
- Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
- Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.
Technical & Cross-Functional Operations
- Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
- Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
- Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
- Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
- Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.
Key Metrics:
- Customer Satisfaction (CSAT) for strategic accounts
- Time to Response and Resolution (TTR) for strategic customers
- Tier 1 resolution rate vs. escalation rate
- Time-to-escalation and engineering handoff SLA adherence
- SLA adherence and escalation response times
- Support productivity and quality (QA scores)
- Post-incident documentation completion rate
What You’ll Add to DigitalOcean:
- Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
- Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
- Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
- Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
- Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
- Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.
Preferred Qualifications:
- Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
- Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
- ITIL or equivalent service management certification
Compensation Range:
- $125,000 - $153,000
*This is a remote role
JR: 2026-7692
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Strategic Partner Development Manager - Channels
Share this job
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about helping our customers and partners realize the benefits of DigitalOcean’s cloud infrastructure.
DigitalOcean is at a pivotal moment where the intersection of high-performance hardware and cloud accessibility is defining the next decade of innovation. We aren’t just building a cloud; we are building a gateway for the next generation of startups to harness the power of AI and intensive computing. This is your chance to be the architect of our most strategic alliances, sitting at the heart of the Silicon Valley ecosystem to bridge the gap between world-class silicon providers and the builders who use them.
We are looking for a Strategic Relationship Builder to act as our primary envoy to the world’s leading AI-focused System Integrators (SIs) aligned with mid-market and AI Native companies. Reporting to the VP, Channel Partnerships, you will be the lead navigator in embedding DigitalOcean into strategic partnership programs. Your mission is to ensure that as the world scales its data center needs, DigitalOcean is the partner of choice.
What You’ll Do
- Architect strategic alliances with key system integrators, MSPs and resellers partners to ensure DigitalOcean is deeply integrated into their go-to-market ecosystems.
- Navigate complex organizational structures within partner companies to identify and influence the right decision-makers for long-term program placement.
- Translate high-level cloud infrastructure trends into actionable partnership strategies that solve real-world data center and scalability challenges.
- Lead cross-functional workstreams between internal product teams and external partner organizations to deliver co-branded value and technical synergy.
- Drive the execution of partnership milestones by breaking down multi-quarter goals into clear, actionable deliverables that provide mutual value to all stakeholders.
- Collaborate with senior leadership to provide insights on industry trends, ensuring our partnership roadmap stays ahead of market shifts in the data center space.
- Mentor peers and internal teams on partnership best practices, fostering a culture of collaborative excellence across the organization.
What You’ll Add to DigitalOcean
- Technical Breadth: You bring a deep understanding of the cloud and infrastructure industry, specifically regarding data center operations. You have a proven track record of building and managing partnerships with strategic System Integrators, MSPs and Resellers partners.
- The "Human" Element: You are an expert in Relational Intelligence—you can speak the language of engineers and executives alike, building trust and psychological safety across organizational boundaries.
- Growth Mindset: You possess a natural desire to learn, an appetite for feedback, and a "leave it better than you found it" attitude that thrives in a high-performance environment.
Compensation Range:
- Base $136,000 - $170,000 / OTE target $180,000 - $226,000
*This is a remote role
JR: 2026-7632
#LI-Remote
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Principal Applied ML Researcher (Agentic Systems & Applied AI Platform)
Share this job
About Us
Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation’s most pressing problems.
About Trase
Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. Our platform specializes in bridging the “last mile” of AI adoption, unlocking AI's full potential while driving efficiency and significant cost savings. Trase is at the forefront of AI Agent innovation, topping the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of industry giants such as Google, Meta, Microsoft, and OpenAI. We are leveraging our cutting-edge technologies to develop mission-critical agentic applications in complex industries such as Healthcare, Oil & Gas, and National Security.
About the Role
As a Principal Applied ML Researcher, you will define and drive the ML and LLM strategy for Trase OS, the agentic execution platform powering deployments in regulated environments.
You are responsible for how models behave inside real production systems - including agent workflows, tool use, and long-lived execution -not just offline model performance.
This is a hands-on technical leadership role operating at the intersection of research, systems, and product. You will drive technical breakthroughs in agentic infrastructure and applied AI systems, own the end-to-end research-to-production lifecycle, and set the standard for how ML systems are designed, evaluated, and deployed across Trase.
Why This Role Exists
Trase OS coordinates long-lived agents, multi-step workflows, tool-augmented LLMs, and execution in regulated environments.
As the system scales, the core challenge shifts from model capability to system correctness and reliability, where models may succeed offline but fail in real workflows, agent behavior can become unpredictable or unsafe, evaluation can drift from real outcomes, and ML decisions can introduce system-level instability.
This role defines how ML systems are integrated into execution systems, evaluated end-to-end, and operated reliably in production.
Responsibilities
Technical Leadership & Innovation
- Drive technical breakthroughs in agentic systems, applied ML infrastructure, and LLM-based applications.
- Define and evolve the ML/LLM strategy and technology roadmap in alignment with product development.
- Act as a principal technical authority, making high-impact architectural and modeling decisions across teams.
Research → Prototype → Production
- Develop prototypes for key technologies to validate new approaches and de-risk system design.
- Own the full lifecycle from research and experimentation through production deployment, monitoring, and iteration.
- Translate advances in ML into scalable, production-grade systems with measurable impact.
Agentic Systems & Applied ML
- Design how LLMs operate within agent workflows, tool use, and multi-step reasoning and long-lived execution.
- Implement and refine prompting strategies, multi-agent orchestration, memory management, and human-in-the-loop controls for safety and reliability.
- Establish patterns for planning, decision-making, and tool orchestration within complex systems.
Evaluation, Quality & Reliability
- Own end-to-end quality evaluation of ML-powered systems, including defining metrics, benchmarks, and testing frameworks.
- Establish evaluation systems that connect model performance to task success and system-level outcomes.
- Ensure systems behave predictably, safely, and reliably in production through monitoring, regression testing, and robust failure handling.
ML Systems & Platform Integration
- Contribute to the design of ML systems supporting the full lifecycle, including training, fine-tuning, evaluation, deployment, and monitoring.
- Drive architecture decisions across model serving, routing, orchestration, and latency and cost optimization.
- Work across infrastructure layers, including cloud and containerized systems, to ensure scalable and efficient deployment.
Enterprise & Regulated Deployments
- Build and deploy enterprise-grade AI systems used by global customers in production environments.
- Design systems that operate reliably in regulated and constrained settings, including on-premise, air-gapped, and secure cloud environments.
- Ensure systems are auditable, explainable, and compliant with regulatory and organizational requirements.
Communication & Influence
- Write technical reports and design documents summarizing R&D progress, system behavior, and key decisions.
- Communicate complex ML concepts and tradeoffs clearly to both technical and non-technical stakeholders.
- Drive alignment across research, engineering, and product through strong technical leadership.
Mentorship & Organizational Impact
- Mentor junior and senior engineers and researchers, raising the bar for ML rigor and system-level thinking.
- Establish and propagate best practices for ML system design, evaluation, and reliability across the organization.
- Influence technical direction beyond immediate teams through high-impact, cross-functional work.
Requirements
- 12–15+ years of experience in machine learning, including building and deploying applied ML systems in production environments.
- Strong programming skills in Python, with experience in Java, C++, or related languages in systems contexts.
- Deep expertise in at least one major ML domain, such as LLMs and generative AI, NLP or multimodal systems, deep learning, or graph learning.
- Hands-on experience with prompt engineering, multi-agent orchestration, tool integration via APIs, memory management, and human-in-the-loop system design.
- Proven experience building and shipping enterprise-grade AI systems, including GenAI, LLM, or agent-based applications at scale.
- Experience designing and implementing evaluation frameworks, including metrics, benchmarks, and testing systems.
- Strong understanding of ML system behavior in production, including reliability, latency, cost tradeoffs, and failure modes.
- Experience deploying ML systems in regulated or constrained environments and familiarity with modern ML infrastructure such as cloud platforms and containerized systems.
- Demonstrated ability to lead technical direction across teams and drive systems from concept to production impact.
Nice to Have
- Experience working with agent-based systems, retrieval-augmented generation, RLHF, or synthetic data approaches.
- Experience building and operating AI/ML platforms that support the full model lifecycle.
- Experience optimizing ML inference in real-time, distributed, or resource-constrained environments.
- Familiarity with data privacy, compliance, and responsible AI frameworks relevant to regulated industries.
- Prior experience operating at the Staff or Principal level in a scaling organization.
Salary Range: $230,000-300,000. This represents the typical salary range for this position based on experience, skills, and other factors.
#LI-RCP
Our Red Cell Partners Benefits:
For full-time roles
- Career track opportunity with potential for rapid advancement with strong performance as the firm grows
- 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.
- Paid maternity and paternity for 14 weeks at employees' normal pay.
- Unlimited PTO, with management approval.
- Opportunities for professional development and continued learning.
- Optional 401K, FSA, and equity incentives available.
- Mental health benefits are available through Tara Mind.
- Cost effective GLP-1 solutions available through Crux.
We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
Applicant Data Disclosure
By submitting an application, you acknowledge that Red Cell Partners, LLC ("Red Cell") uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, "Hiring Platforms"). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes:
- Managing and administering your application throughout the hiring process;
- Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases;
- Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories.
Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact talent@redcellpartners.com.
Red Cell requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Red Cell's data retention policies.
For more information about how your data is used, please refer to our Privacy Policy and Applicant Privacy Notice.
Ready to apply?
Apply to Red Cell Partners
Principal Applied ML Researcher (Agentic Systems & Applied AI Platform)
Share this job
About Us
Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. Our platform specializes in bridging the “last mile” of AI adoption, unlocking AI's full potential while driving efficiency and significant cost savings. Trase is at the forefront of AI Agent innovation, topping the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of industry giants such as Google, Meta, Microsoft, and OpenAI. We are leveraging our cutting-edge technologies to develop mission-critical agentic applications in complex industries such as Healthcare, Oil & Gas, and National Security.
About the Role
As a Principal Applied ML Researcher, you will define and drive the ML and LLM strategy for Trase OS, the agentic execution platform powering deployments in regulated environments.
You are responsible for how models behave inside real production systems - including agent workflows, tool use, and long-lived execution -not just offline model performance.
This is a hands-on technical leadership role operating at the intersection of research, systems, and product. You will drive technical breakthroughs in agentic infrastructure and applied AI systems, own the end-to-end research-to-production lifecycle, and set the standard for how ML systems are designed, evaluated, and deployed across Trase.
Why This Role Exists
Trase OS coordinates long-lived agents, multi-step workflows, tool-augmented LLMs, and execution in regulated environments.
As the system scales, the core challenge shifts from model capability to system correctness and reliability, where models may succeed offline but fail in real workflows, agent behavior can become unpredictable or unsafe, evaluation can drift from real outcomes, and ML decisions can introduce system-level instability.
This role defines how ML systems are integrated into execution systems, evaluated end-to-end, and operated reliably in production.
Responsibilities
Technical Leadership & Innovation
- Drive technical breakthroughs in agentic systems, applied ML infrastructure, and LLM-based applications.
- Define and evolve the ML/LLM strategy and technology roadmap in alignment with product development.
- Act as a principal technical authority, making high-impact architectural and modeling decisions across teams.
Research → Prototype → Production
- Develop prototypes for key technologies to validate new approaches and de-risk system design.
- Own the full lifecycle from research and experimentation through production deployment, monitoring, and iteration.
- Translate advances in ML into scalable, production-grade systems with measurable impact.
Agentic Systems & Applied ML
- Design how LLMs operate within agent workflows, tool use, and multi-step reasoning and long-lived execution.
- Implement and refine prompting strategies, multi-agent orchestration, memory management, and human-in-the-loop controls for safety and reliability.
- Establish patterns for planning, decision-making, and tool orchestration within complex systems.
Evaluation, Quality & Reliability
- Own end-to-end quality evaluation of ML-powered systems, including defining metrics, benchmarks, and testing frameworks.
- Establish evaluation systems that connect model performance to task success and system-level outcomes.
- Ensure systems behave predictably, safely, and reliably in production through monitoring, regression testing, and robust failure handling.
ML Systems & Platform Integration
- Contribute to the design of ML systems supporting the full lifecycle, including training, fine-tuning, evaluation, deployment, and monitoring.
- Drive architecture decisions across model serving, routing, orchestration, and latency and cost optimization.
- Work across infrastructure layers, including cloud and containerized systems, to ensure scalable and efficient deployment.
Enterprise & Regulated Deployments
- Build and deploy enterprise-grade AI systems used by global customers in production environments.
- Design systems that operate reliably in regulated and constrained settings, including on-premise, air-gapped, and secure cloud environments.
- Ensure systems are auditable, explainable, and compliant with regulatory and organizational requirements.
Communication & Influence
- Write technical reports and design documents summarizing R&D progress, system behavior, and key decisions.
- Communicate complex ML concepts and tradeoffs clearly to both technical and non-technical stakeholders.
- Drive alignment across research, engineering, and product through strong technical leadership.
Mentorship & Organizational Impact
- Mentor junior and senior engineers and researchers, raising the bar for ML rigor and system-level thinking.
- Establish and propagate best practices for ML system design, evaluation, and reliability across the organization.
- Influence technical direction beyond immediate teams through high-impact, cross-functional work.
Requirements
- 12–15+ years of experience in machine learning, including building and deploying applied ML systems in production environments.
- Strong programming skills in Python, with experience in Java, C++, or related languages in systems contexts.
- Deep expertise in at least one major ML domain, such as LLMs and generative AI, NLP or multimodal systems, deep learning, or graph learning.
- Hands-on experience with prompt engineering, multi-agent orchestration, tool integration via APIs, memory management, and human-in-the-loop system design.
- Proven experience building and shipping enterprise-grade AI systems, including GenAI, LLM, or agent-based applications at scale.
- Experience designing and implementing evaluation frameworks, including metrics, benchmarks, and testing systems.
- Strong understanding of ML system behavior in production, including reliability, latency, cost tradeoffs, and failure modes.
- Experience deploying ML systems in regulated or constrained environments and familiarity with modern ML infrastructure such as cloud platforms and containerized systems.
- Demonstrated ability to lead technical direction across teams and drive systems from concept to production impact.
Nice to Have
- Experience working with agent-based systems, retrieval-augmented generation, RLHF, or synthetic data approaches.
- Experience building and operating AI/ML platforms that support the full model lifecycle.
- Experience optimizing ML inference in real-time, distributed, or resource-constrained environments.
- Familiarity with data privacy, compliance, and responsible AI frameworks relevant to regulated industries.
- Prior experience operating at the Staff or Principal level in a scaling organization.
Salary Range: $230,000-300,000. This represents the typical salary range for this position based on experience, skills, and other factors.
#LI-RCP
Our Trase Benefits:
For full-time roles only
- Career track opportunity with potential for rapid advancement with strong performance as the firm grows
- 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.
- Paid maternity and paternity for 14 weeks at employees' normal pay.
- Unlimited PTO, with management approval.
- Opportunities for professional development and continued learning.
- Optional 401K, FSA, and equity incentives available.
- Mental health benefits are available through Tara Mind.
We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
Applicant Data Disclosure
By submitting an application, you acknowledge that Red Cell Partners, LLC ("Red Cell") uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, "Hiring Platforms"). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes:
- Managing and administering your application throughout the hiring process;
- Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases;
- Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories.
Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact talent@redcellpartners.com.
Red Cell requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Red Cell's data retention policies.
For more information about how your data is used, please refer to our Privacy Policy and Applicant Privacy Notice.
Ready to apply?
Apply to Trase Systems
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
At Airbnb, we believe technology has the power to bring people together — and our engineers are the ones building it. Our Engineering org is a diverse, fast-moving group of teams working across Payments, Trust, Marketing, Relevance & Personalization, and more. Together, we're tackling some of the hardest problems in tech: search relevance at global scale, fraud prevention, seamless payments, and fueling growth — all while delivering a product experience that feels effortless and beautiful. We're also at the forefront of integrating AI and machine learning into our products — from personalized search experiences to intelligent trust and safety systems — and we're looking for curious engineers who are excited to grow alongside this technology.
If you're energized by engineering that creates real-world human connection — and by the idea that your code will be experienced by millions of people around the world — you'll feel right at home here.
The Difference You Will Make:
As a Software Engineer (New Grad) at Airbnb, you’ll play a vital role in building, supporting, and refining the products and systems that make Airbnb’s mission possible. Your work will directly contribute to high-quality, reliable experiences for our global community—whether you’re fixing bugs, launching well-defined features, or enhancing existing components. You'll also have the opportunity to contribute to AI-powered features, applying foundational knowledge of machine learning concepts and modern AI tools to build smarter, more personalized experiences for our hosts and guests. By clearly communicating challenges and collaborating with teammates across functions, you’ll help drive projects forward with transparency and trust.
You’ll foster a sense of belonging by actively seeking feedback, sharing your own learnings, and supporting the onboarding of new team members. You’ll help uphold Airbnb’s commitment to excellence by following best practices, delivering tasks autonomously, and continually improving your technical skills. Your curiosity, empathy, and commitment to candid communication will empower you to make a meaningful impact—on projects, teammates, and Airbnb’s inclusive culture.
A Typical Day:
- Attend team syncs to discuss priorities, share progress, and surface any blockers with transparency.
- Dive into coding—fixing bugs, developing features, or refining APIs and components—while applying best practices for code quality, error handling, and testability. Leverage AI-assisted development tools (e.g., Claude Code or similar) to accelerate your workflow and improve code quality.
- Participate in design or code reviews, ask clarifying questions, and apply feedback to improve your work. Work closely with cross-functional partners like product managers and designers to ensure your tasks align clearly with broader goals.
- Dedicate time to expanding your technical knowledge through documentation, mentorship, or internal knowledge-sharing sessions. This includes staying current on AI/ML developments relevant to your team's domain — whether that's recommendation systems, natural language understanding, or AI safety practices. Seek guidance from managers or tech leads when tackling unfamiliar problems.
- Contribute to team activities, such as onboarding new hires (e.g., being an onboarding buddy), sharing observations from the hiring process, or joining in cultural events focused on diversity, inclusion, and innovation.
- Share updates on your progress and next steps, highlighting challenges or learnings.
Your Expertise:
This role is designed for recent graduates (Bachelor's or Master's) with less than 1 year of full-time professional experience who are ready to grow fast and make an impact.
- Strong foundation in Computer Science fundamentals — data structures, algorithms, design patterns, and systems thinking
- Proficiency in one or more of: Java, Scala, Ruby, Ruby on Rails, C++, SQL, HTML/CSS, JavaScript, Objective-C, Swift (iOS), or Kotlin (Android)
- Foundational awareness of AI/ML concepts — such as supervised learning, model evaluation, or working with APIs backed by large language models (LLMs) — gained through coursework, personal projects, or internships
- Familiarity with Python and common AI/ML libraries (e.g., NumPy, scikit-learn, or PyTorch) is a plus, as is experience integrating cloud-based AI services or LLM APIs
- An understanding of responsible AI principles — including fairness, privacy, and safety — and a curiosity about how these apply to real-world product development
- Bonus points for leadership experience, community involvement, or teaching/mentoring — we love engineers who invest in others
Your Location:
Preference for candidates based in San Francisco, California or Seattle, Washington with the ability to commute to the office three days per week. Additional in-person attendance for team meetings or offsites may be required as needed. Domestic Relocation support will be provided for candidates open to relocating.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Ready to apply?
Apply to Airbnb
PhD Fall Machine Learning Intern (ATG — Visual, Multimodal, and Recommender Systems)
Share this job
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest’s visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.
Note to applicants:
By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.
Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.
What you’ll do:
- Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI.
- Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems.
- Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work.
- Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards.
- Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation.
- Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
- Write clean, efficient, and sustainable code
- Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers
What we’re looking for:
- This role will be on our Visual Search or Applied Science teams. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs.
- Ability to legally work full time (40 hours/week) from September-December 2026
- Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow)
- Proficiency with AI-native engineering, including the design of agent-friendly codebases.
- High degree of autonomy in learning new agent-first development tools.
- Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
- Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints.
- Experience in research and in solving analytical problems
- Strong communicator and team player. Being able to find solutions for open-ended problems.
Preferred Qualifications:
-
- Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
- Strong passion for research and for answering hard questions with research
- Passion for applied ML and the Pinterest product
Why Intern at Pinterest?
- Meaningful Work: Contribute to projects that impact millions of users worldwide.
- Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
- Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection
- This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
The salary for this position is $12,100 monthly.
#LI-HYBRID
#LI-EB1
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
Master's Fall Machine Learning Internship (ATG - Visual Search)
Share this job
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest’s visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.
Note to applicants:
By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.
Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.
What you’ll do:
- Develop and launch new user features using unique internal datasets and ML techniques, especially in computer vision, generative AI, and responsible AI.
- Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems.
- Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work.
- Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards.
- Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation.
- Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
- Write clean, efficient, and sustainable code
- Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers
What we’re looking for:
- This role will be on our Visual Search team. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Generative AI, and LLMs.
- Ability to legally work full time (40 hours/week) from September-December 2026
- Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
- Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow)
- Proficiency with AI-native engineering, including the design of agent-friendly codebases.
- High degree of autonomy in learning new agent-first development tools.
- Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
- Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints.
- Experience in research and in solving analytical problems
- Strong communicator and team player. Being able to find solutions for open-ended problems.
Preferred Qualifications:
-
- Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
- Strong passion for research and for answering hard questions with research
- Passion for applied ML and the Pinterest product
Why Intern at Pinterest?
- Meaningful Work: Contribute to projects that impact millions of users worldwide.
- Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
- Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection
- This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
The salary for this position is $11,00 monthly.
#LI-HYBRID
#LI-EB1
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
Sr. Machine Learning Engineer, Core Engineering
Share this job
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.
What you’ll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What we’re looking for:
- 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- Publications at top ML conferences
- Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
- Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SA1
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
Machine Learning Engineer, Monetization Engineering
Share this job
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.
Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
What you’ll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What we’re looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- Degree in computer science, machine learning, statistics, or related field
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have:
- Publications at top ML conferences
- Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
- Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-HYBRID
#LI-SM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
Machine Learning Engineer, Core Engineering
Share this job
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.
What you’ll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What we’re looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
- Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SA1
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
Sr. Machine Learning Engineer, Monetization Engineering
Share this job
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.
Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
What you’ll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What we’re looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- Degree in computer science, statistics, or related field; or equivalent experience
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
- Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-HYBRID
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion:
Ready to apply?
Apply to Pinterest
Senior Manager, Accounts Receivable, Credit & Collections
Share this job
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Senior Manager, Accounts Receivable, Credit & Collections (Americas)
About the role
Anthropic is scaling rapidly, and so is our customer base. As our commercial business grows across the Americas, we need a senior leader to own credit and collections for the region. You will join our Invoice to Cash (I2C) team and be responsible for the end-to-end credit and collections lifecycle for Americas customers, from onboarding credit reviews through dispute resolution and cash recovery.
This is a senior people leadership role with meaningful strategic scope and a strong automation mandate. Anthropic expects its finance function to operate at the frontier of what AI and modern tooling make possible, and credit and collections is a natural place to lead from the front. You will manage a team of managers and analysts, set the credit and collections strategy for the region, and own the automation roadmap that lets us scale cash collection without linearly scaling headcount. You will partner closely with Sales, Legal, Deal Desk, and Customer Success leadership, and help shape the processes, policies, and systems that allow us to extend credit responsibly and collect efficiently at enterprise scale. You will report into the Accounts Receivable Lead and work alongside regional counterparts in EMEA and APAC to drive consistency in how we manage customer credit risk globally.
If you enjoy building operational rigor in a fast-moving environment, have a track record of scaling credit and collections functions through automation and AI, and care about doing right by customers while protecting the business, we would love to hear from you.
Key responsibilities
-
Set the strategic direction for Americas credit and collections, including portfolio management, aging reviews, and cash forecasting for the region.
-
Own the Americas collections automation roadmap, including segmentation strategy, dunning workflows, self-service payment experiences, and automated dispute routing.
-
Drive adoption of AI across the credit and collections workflow, including intelligent prioritization of collector outreach, AI-drafted customer correspondence, predictive risk scoring, and automated reconciliation of customer responses.
-
Lead, coach, and develop a team of credit and collections professionals, including people managers, setting clear KPIs around DSO, aging, collection effectiveness, and automation coverage.
-
Own credit risk strategy for new and existing Americas customers, including credit policy, credit limit frameworks, payment term guidelines, and data-driven escalation of higher-risk accounts.
-
Partner with Sales, Deal Desk, and Legal leadership on contract negotiations involving payment terms, credit exposure, and non-standard billing arrangements.
-
Drive timely resolution of material customer disputes in partnership with Billing Operations, Cash Application, and Customer Success.
-
Develop and refine credit and collections policies, playbooks, and escalation paths suited to a rapidly scaling enterprise SaaS business, with automation embedded by default rather than bolted on.
-
Lead the Americas rollout and continued optimization of our AR automation platform, including workflow design, integrations with ERP and billing systems, and reporting.
-
Partner with Finance Systems and internal AI tooling teams to identify and deploy agentic and LLM-based solutions that reduce manual work and improve decision quality across the credit and collections lifecycle.
-
Deliver regular reporting and insights on receivables health, bad debt reserves, collections performance, and automation metrics to senior finance leadership.
-
Collaborate with regional AR peers to harmonize global credit and collections standards while accounting for Americas-specific commercial and regulatory nuances.
-
Represent Americas AR in cross-functional initiatives spanning systems, controls, and finance transformation.
Minimum qualifications
-
Experience leading credit and collections teams in a high-growth or enterprise SaaS environment, including managing other managers.
-
Demonstrated experience driving automation across credit and collections workflows, with measurable improvements to efficiency, coverage, or DSO.
-
Strong working knowledge of commercial credit risk assessment, including use of credit reporting tools (e.g., D&B, Experian) and financial statement analysis.
-
Hands-on experience with ERP and AR systems (e.g., NetSuite, Oracle, SAP) and AR automation platforms (e.g., Tesorio, HighRadius, Billtrust), including shaping workflow and integration design rather than just using them.
-
Proficiency in Excel or Google Sheets for portfolio analysis, reporting, and ad hoc modeling.
-
Strong written and verbal communication skills, with the ability to navigate sensitive customer and executive-level internal conversations diplomatically.
Preferred qualifications
-
10+ years of progressive experience in accounts receivable, credit, or collections, including significant time leading teams and managing people managers.
-
Hands-on experience deploying AI or LLM-based solutions in a finance or AR context, whether through vendor tooling, custom workflows, or agentic systems.
-
Experience supporting a company through rapid scaling, including process build-out, systems implementation, and org design.
-
Familiarity with enterprise contract structures, including multi-year deals, usage-based billing, and non-standard payment terms.
-
Exposure to global AR operations and cross-regional coordination.
-
Experience partnering with Sales and Deal Desk leadership on complex commercial negotiations.
-
Working knowledge of SOX controls and audit requirements as they relate to AR and credit.
-
Comfort prompting and evaluating LLMs as part of daily work, and a point of view on where AI creates real leverage in a finance function versus where it does not.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Senior Machine Learning Scientist
Share this job
Join Axon and be a Force for Good.
At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact
We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.
What You’ll Do
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)
- US: Seattle, Boston, Scottsdale
Responsibilities
- Own one or more key technical areas across LLM, MLLM, CV product portfolio.
- Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
- Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
- Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
- Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
- Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
- Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
- Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
- Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
- Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
- Experience coach and mentor junior scientists.
What You Bring
- PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
- Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
- Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
- Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
- Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
- Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
- Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
- Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
- Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.
Benefits that Benefit You
- Competitive salary and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
- Learning & Development programs
- And yes, we have snacks in our offices
Benefits listed herein may vary depending on the nature of your employment and the location where you work
Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.
Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers.
Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Important Notes
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.
Some roles may also require legal eligibility to work in a firearms environment.
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.
Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
Ready to apply?
Apply to Axon
Predoctoral Young Investigator, Robotics
Share this job
Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.
Compensation Range: $113,300
Who You Are:
Ai2’s Robotics team seeks a creative, early career Predoctoral Young Investigator who has a strong interest in language-model based artificial intelligence and natural language processing. Predoctoral Young Investigator (PYI) candidates have graduated with a bachelor’s or master’s degree in a relevant field and are preparing to enter a PhD program in the next 1-3 years. We also welcome applications from candidates already enrolled in a PhD program who wish to align their work with Ai2’s endeavors, and we are happy to work on a case-by-case basis with regards to work arrangements if there is a mutual fit.
The Predoctoral Young Investigator position:
- Duration: 1-3 years
- Start date: Flexible
Candidates: PYI Program candidates have graduated with a bachelor’s or master’s degree in a relevant field and are preparing to enter a PhD program in the next 1-2 years. We also welcome applications from candidates already enrolled in a PhD program who wish to align their work with Ai2’s endeavors, and we are happy to work on a case-by-case basis with regard to work arrangements if there is a mutual fit.
Who We Are:
Ai2's Robotics team is led by Dieter Fox. We aim to develop and leverage scalable simulation domains to scientifically investigate the scaling and generalization capabilities of foundation models for robotics, and use these insights to develop broadly competent robots. Following a longstanding tradition at Ai2, we are committed to fully open-source research and work toward application domains with a positive impact on society.
We are looking for applicants interested in robotics, with a focus on core techniques in robot manipulation, large scale training in simulated environments, sim-to-real transfer, robot foundation models, and skill learning.
As a Predoctoral Young Investigator on the Robotics team, you will have the opportunity to work in a variety of research areas including:
- Robot foundation models – Investigate the scaling and generalization properties of foundation models for robotics, and contribute to developing broadly competent robots that can operate in the real world.
- Manipulation and skill learning – Develop agents that manipulate objects, follow instructions, and acquire new skills across diverse tasks, in both simulation and on real robot hardware.
- Simulation and sim-to-real – Build and leverage scalable, GPU-accelerated simulation environments for large-scale training, and develop pipelines that transfer learned policies reliably to real-world robots.
- Open source research – Make substantial contributions to the fully open methods, datasets, benchmarks, and tools that enable rigorous, reproducible, and distributed experimentation.
We regularly publish in high-profile conferences and journals in robotics (CoRL, ICRA, RSS), computer vision (CVPR, ICCV, ECCV), and machine learning (e.g., NeurIPS, ICLR, ICML).
We collaborate frequently with researchers on other Ai2 teams focused on computer vision, large language models, and others. Our main office has close ties and unique access to researchers at the University of Washington, only 1.5 miles away.
Your Next Challenge:
The essential functions include, but are not limited to the following:
The Allen AI Predoctoral Young Investigator offers predoctoral candidates the opportunity to prepare for graduate-level research through partnership with strong mentors, participation in cutting edge research, and co-authorship of papers at top venues. This program aims to position candidates for successful entry into a top graduate program. For potential candidates who are already enrolled in graduate studies, this program offers the opportunity to work with researchers at Ai2 on collaborative projects for the benefit of both Ai2’s initiatives and your thesis work.
- Gain strong research experience through direct collaboration with Ai2 researchers.
- Co-author papers with Ai2 researchers and get published in top venues.
- Learn about and leverage Ai2’s data, engineering infrastructure, and research tools.
- Gain industry experience in a supportive, agile, mission-driven environment.
- No grant writing, teaching, or administrative responsibilities required.
At Ai2, we value the importance of taking the next step in your research career - getting your PhD. When visiting schools to decide on your PhD program, you will not be required to use your accrued Vacation and Personal Time to travel and/or conduct school visits.
What You’ll Need:
- A bachelor’s or master’s degree in a relevant field with a desire to enter a PhD program in the next 1-3 years, or currently enrolled in a related PhD program.
Physical Demands and Work Environment:
The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.
- Must be able to remain in a stationary position for long periods of time.
- The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
- The ability to observe details at close range.
- Can work under deadlines.
A Little More About Ai2:
Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.
In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:
- We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers.
- We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
- We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
- We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
- We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
- We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
- We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do.
Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.
We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.
Benefits:
- Team members and their families are covered by medical, dental, vision, and an employee assistance program.
- Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
- Team members are able to enroll in our company’s 401k plan.
- Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
- Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.
Ready to apply?
Apply to The Allen Institute for Artificial Intelligence
ML Postdoc Researcher - Healthcare AI Innovation
Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture. Participation in the Postdoctoral Research program requires that you are physically present in the United States for the duration of the program. #LI-remote
About Truveta
Truveta is transforming healthcare by enabling researchers, clinicians, and life sciences organizations to learn from one of the most comprehensive collections of de-identified patient data in the United States. With access to longitudinal electronic health record (EHR) data from over 120 million patients (which represents over a third of the US population), we are uniquely positioned to drive breakthroughs in clinical research and improve patient outcomes.
This Opportunity
We are seeking a highly motivated Postdoctoral Researcher to explore and develop novel applications of cutting-edge AI/ML technologies on large-scale real-world clinical data.
This role is designed for recent PhD graduates who are passionate about pushing the boundaries of machine learning in healthcare. You will work at the intersection of machine learning, clinical data, and biomedical science, identifying new opportunities where modern AI can unlock insights that were previously out of reach.
A key expectation is not just execution—but imagination: the ability to envision and prototype entirely new ways to use rich patient data to solve meaningful healthcare problems.
Who You Are
- Curious and imaginative: You naturally think beyond existing solutions and ask “what hasn’t been done yet?”
- Impact-driven: You care about applying research to real-world healthcare problems
- Comfortable with ambiguity: You thrive in open-ended environments where defining the problem is part of the job
- Collaborative: You enjoy working across domains and learning from experts in different fields
What You'll Do
- Innovate: Identify and propose novel, high-impact applications of AI/ML using large-scale EHR data
- Research & Prototype: Design, develop, and evaluate state-of-the-art models (e.g., foundation models, multimodal learning, causal ML, generative AI)
- Work Across Modalities: Integrate structured and unstructured EHR data with emerging data types such as genomics, imaging, and clinical notes
- Collaborate Cross-Functionally: Partner with clinicians, data scientists, and product teams to translate research ideas into real-world solutions
- Publish & Share: Contribute to top-tier conferences/journals and represent Truveta in the research community
- Explore the Unknown: Proactively identify problems that have not yet been addressed and define new research directions
What We're Looking For
Basic Qualifications
-
- Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
- Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
- Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
- Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
- Deliver the next generation of innovation in trustworthy healthcare.
Preferred Qualifications
-
- Experience with healthcare data (EHRs, claims, clinical notes) or biomedical data (genomics, imaging)
- Familiarity with cutting-edge areas such as:
- Foundation models / LLMs in healthcare
- Multimodal learning
- Causal inference
- Representation learning on longitudinal data
- Track record of publications in top-tier ML or healthcare venues (e.g., NeurIPS, ICML, ICLR, MLHC, AMIA)
- Ability to work across disciplines and communicate with both technical and clinical stakeholders
Why Truveta?
Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.
We offer:
- Competitive compensation
- Company-issued laptop and equipment
- Opportunities for future full-time positions
- The range for this position is $50-$60 per hour
Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.
Ready to apply?
Apply to Truveta
ML PhD Intern - LLMs & Generative AI
Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture. Participation in the internship program requires that you are physically present in the United States for the duration of the internship. #LI-remote
Who We Need
We are seeking a highly motivated and talented Machine Learning PhD Intern to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.
Internship Details
Our Research PhD Internship is designed for candidates who have finished their classes and are working only on research work to complete their PhD. Candidates must be within 1 year of their graduation date from their PhD program. Candidates are expected to demonstrate both independence in defining their research strategy within a domain as well as an ability to apply innovative solutions to our products. Our internships are designed to be a minimum of 10 weeks with the opportunity to extend beyond the initially agreed term based on the company’s needs and the candidate’s desires.
This Opportunity
We are looking for machine learning experts who can utilize applied science and software development skills in building our Foundation Models that help us address some of the hardest problems towards our vision of Saving Lives with Data. You will work in an exciting and fast-paced environment, collaborating closely with multiple teams across the company. You will work as part of an organization that brings together talent from diverse backgrounds including software engineering, big data, machine learning and AI, clinical informatics, and medicine making our team an exciting place to work. We value and encourage diversity in the belief that our differences make us and our products better.
In this role, you will:
- Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
- Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
- Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
- Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
- Deliver the next generation of innovation in trustworthy healthcare.
Key Qualifications
- Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and generative AI
- Strong theoretical and practical background in NLP including experience with state-of-the-art architectures
- Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI
- Solid programming skills in Python and the ability to write clean, efficient, and well-documented code
- Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems
- Strong communication skills and the ability to work effectively in a collaborative research environment
Preferred Qualifications
- Experience with distributed parallel training, large-scale multi-modal foundation and generative models
- Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt engineering techniques
- Familiarity with training multi-modal foundation models
- Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments
- A track record of publications and contributions to the machine learning and natural language processing communities
This internship opportunity offers a unique chance to work on state-of-the-art language models and contribute to transformative research with the vision of Saving Lives with Data. You will be part of a dynamic team of researchers and engineers who are passionate about pushing the boundaries of machine learning and natural language understanding in the healthcare domain. Join us and make a significant impact on the future of healthcare and patient well-being.
Why Truveta?
Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.
We offer:
- Competitive compensation
- Company-issued laptop and equipment
- Opportunities for future full-time positions
- The hourly pay for this position is $45
Truveta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Truveta
Machine Learning Engineer - LLMs & Generative AI
Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
This position is based out of our headquarters in the Greater Seattle area. #LI-hybrid
Who We Need
Truveta is building a diverse and inclusive team to tackle complex health and technical challenges. We are seeking enthusiastic new graduates who are problem-solvers, collaborative teammates, and eager to make a difference in healthcare. If you’re excited about purposeful work, joining a mission-driven team, and launching your career in a supportive environment, Truveta could be the perfect place to start.
This Opportunity
We are looking for a Machine Learning Engineer with a deep background in generative AI, large language models (LLMs), and reinforcement learning techniques to build the next generation of AI systems for trustworthy healthcare. This role offers a unique opportunity to build foundational models trained on vast clinical data and drive innovation in a highly meaningful domain.
Responsibilities
- Lead the development, training, and deployment of large language and multimodal foundation models tailored to clinical and biomedical domains.
- apply and refine state-of-the-art techniques such as supervised fine-tuning (SFT), reinforcement learning-based methods (e.g., RLHF, RLVR), parameter-efficient fine-tuning (PEFT), prompt tuning, and retrieval-augmented generation (RAG).
- Collaborate cross-functionally with researchers, clinicians, and engineers to design ML-driven solutions that improve healthcare delivery and outcomes.
- Build scalable infrastructure for distributed training of large models (TPU/GPU clusters, multi-node orchestration).
- Design and evaluate models for robustness, bias mitigation, factual consistency, and explainability in healthcare contexts.
- Stay current with the latest research in generative AI and contribute back to the community through publications and open-source initiatives.
Minimum Qualifications
- 6+ years of experience in software engineering or machine learning (3+ years with a PhD).
- Experience designing and training LLMs or large-scale generative models (e.g., GPT, PaLM, LLaMA, Claude, Gemma).
- Deep expertise in NLP, sequence modeling, and transformer architectures.
- Proficient in Python and ML libraries such as PyTorch or TensorFlow; strong engineering skills in building scalable ML pipelines.
- Experience with RL-based fine-tuning (e.g., Reinforcement Learning from Human Feedback) and evaluation of generative systems.
- Proven ability to lead technical projects and collaborate across teams.
- Bachelor's degree in Computer Science, Engineering, or a related technical field
Preferred Qualifications
- PhD or equivalent experience in Machine Learning, NLP, AI, or a related field.
- Experience in healthcare, biomedical informatics, or clinical data modeling.
- Familiarity with multi-modal foundation models (e.g., text-image, text-structured data) and cross-modal alignment techniques.
- Hands-on experience with vector databases, semantic search, and retrieval-based generation
- Publications in top-tier ML conferences (NeurIPS, ICML, ACL, EMNLP, ICLR, etc.).
- Experience building trustworthy AI systems and applying model interpretability, fairness, and safety frameworks.
Why Truveta?
Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional, and everything in between. Join us as we build an amazing company together.
We Offer:
- Interesting and meaningful work for every career stage
- Great benefits package
- Comprehensive benefits with strong medical, dental and vision insurance plans
- 401K plan
- Professional development & training opportunities for continuous learning
- Work/life autonomy via flexible work hours and flexible paid time off
- Generous parental leave
- Regular team activities (virtual and in-person)
- The base pay for this position is $155,000 to $175,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options.
If you are based in California, we encourage you to read this important information for California residents linked here.
Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.
Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.
Ready to apply?
Apply to Truveta
ML Postdoc Researcher - LLMs & Generative AI
Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture. Participation in the Postdoctoral Research program requires that you are physically present in the United States for the duration of the program. #LI-remote
Who We Need
We are seeking a highly motivated and talented Machine Learning Postdoctoral Researcher to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.
Program Details
Our Postdoctoral Research program is designed for candidates who have completed their PhD within the last two years and worked in their area of expertise since graduation as a postdoc, professor, or industry researcher/scientist. Candidates are expected to demonstrate both independence in defining their research strategy within a domain as well as an ability to apply innovative solutions to our products. Our postdoc research programs are designed to be a minimum of 3 months and a maximum of 12 months, with the opportunity to extend beyond the initially agreed term based on the company’s needs and the candidate’s desires.
This Opportunity
We are looking for machine learning experts who can utilize applied science and software development skills in building our Foundation Models that help us address some of the hardest problems towards our vision of Saving Lives with Data. You will work in an exciting and fast-paced environment, collaborating closely with multiple teams across the company. You will work as part of an organization that brings together talent from diverse backgrounds including software engineering, big data, machine learning and AI, clinical informatics, and medicine making our team an exciting place to work. We value and encourage diversity in the belief that our differences make us and our products better.
In this role, you will:
- Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
- Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
- Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
- Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
- Deliver the next generation of innovation in trustworthy healthcare.
Key Qualifications
- Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and generative AI
- Strong theoretical and practical background in NLP including experience with state-of-the-art architectures
- Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI
- Solid programming skills in Python and the ability to write clean, efficient, and well-documented code
- Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems
- Strong communication skills and the ability to work effectively in a collaborative research environment
Preferred Qualifications
- Experience with distributed parallel training, large-scale multi-modal foundation and generative models
- Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt engineering techniques
- Familiarity with training multi-modal foundation models
- Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments
- A track record of publications and contributions to the machine learning and natural language processing communities
This postdoctoral research program offers a unique chance to work on state-of-the-art language models and contribute to transformative research with the vision of Saving Lives with Data. You will be part of a dynamic team of researchers and engineers who are passionate about pushing the boundaries of machine learning and natural language understanding in the healthcare domain. Join us and make a significant impact on the future of healthcare and patient well-being.
Why Truveta?
Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.
We offer:
- Competitive compensation
- Company-issued laptop and equipment
- Opportunities for future full-time positions
- The range for this position is $50-$60 per hour
Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.
Ready to apply?
Apply to Truveta
Partner Data Analyst
Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In person attendance is required at least once per year for an onsite meeting.
For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote
Who We Need
Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.
This Opportunity
The analytics Rapid Response Team (RRT) sits within Truveta’s broader Partner Insights and Enablement team and plays a critical role in coordinating with internal teams and supporting customers to get fast, high-quality answers from Truveta data. As a Partner Data Analyst on the RRT team, you will help ensure customers find value in the data, supports issue investigation, and build confidence in the platform through efficient, responsive analytics. You will support data quality efforts, conduct analyses, answer customer questions, and support new data releases. You will be solving consequential problems in healthcare using an EHR database of ~100 million patients (and growing!) and make an impact on patient care. As a Partner Data Analyst, you will work at the intersection of EHR data knowledge and efficient data delivery. You’ll support feasibility analyses, quickly summarize patient populations, and assist in identifying and tracking data issues. This position is ideal for someone with hands-on experience working with EHR or healthcare data, strong data wrangling skills, and a passion for translating data into actionable insights.
Responsibilities
- Proven experience wrangling large healthcare datasets and translating clinical concepts into structured queries.
- Proficiency in SQL and at least one programming language (e.g., Python or R) for data analysis and pipeline development.
- Ability to work cross-functionally in a fast-paced, collaborative team environment.
- Comfort summarizing populations or generating feasibility numbers from clinical data quickly and accurately.
- Use technical skills to scope out customer analyses requests, produce studies and results using SQL, R and Python within an agreed upon deadline.
- Collaborate with life science, academic research organizations, and health system partners to conduct analyses.
- Collaborate with success managers and support team to ensure that Truveta partners can be successful with the platform.
- Required to excel in providing technical analytics support as well as directly working with customers on calls to troubleshooting code and platform questions.
- Work with customers to achieve their goals, teaching them how to wrangle and analyze data using SQL, R and Python on RWD to address their empirical questions.
- Collaborate closely with other Truveta teams to conduct investigations of data sources to demonstrate veracity to current customers.
- Deliver feedback to internal teams based on customer requests to inform Truveta’s product roadmap.
Required Skills
- Undergraduate or graduate level educational in clinical research, data analysis, clinical informatics or related field.
- Experience working with large relational database consisting of millions of patients' data.
- 2+ years of experience wrangling and analyzing Electronic Health Record data or other Real World Data sources in life science companies, CROs, other EHR data companies or healthcare using SQL, R and Python.
- Knowledge of clinical terminologies such as ICD, SNOMED, LOINC, NDC or RxNorm.
- Willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts.
- Experience working with customers delivering high quality research analyses.
- Ability to learn and adapt quickly in a dynamic start-up environment.
Preferred Qualifications
These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don’t already have experience with them.
- Experience working with unstructured clinical data or natural language processing outputs
- Spark/PySpark experience
- Regex query writing experience
- Experience building cohort definitions or eligibility criteria for research studies or trial design
Why Truveta?
Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.
We Offer:
- Interesting and meaningful work for every career stage
- Great benefits package
- Comprehensive benefits with strong medical, dental and vision insurance plans
- 401K plan
- Professional development & training opportunities for continuous learning
- Work/life autonomy via flexible work hours and flexible paid time off
- Generous parental leave
- Regular team activities (virtual and in-person as soon as we are able)
- The base pay for this position is $94,000 to $120,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options.
If you are based in California, we encourage you to read this important information for California residents linked here.
Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.
Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.
Ready to apply?
Apply to Truveta
Research Internship, Robotics
Share this job
Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.
*Compensation dependent on current degree enrollment.
Research Intern, Undergrad: $94,320 (Annually)
Research Intern, Masters: $106,110 (Annually)
Research Intern, PhD: $140,000 (Annually)
Who You Are:
Ai2 is seeking passionate, early-career researchers to join us for an internship. Undergraduate, Masters and PhD graduate students in AI-related fields are invited to apply for full-time research internships with us year-round. Applicants should have an interest in computer vision, natural language processing, machine learning, robotics, agents, and/or embodied AI. International candidates are welcome to apply. Pay is competitive, and visa sponsorship is available.
Ai2 Research Internship Information:
- Duration: 12 weeks
- Start date: Flexible
- Candidates: A PhD candidate or a master/undergraduate student with a strong research background
Who We Are:
Ai2’s Robotics team is looking for PhD students (and strong Masters and Undergraduate) interns to join our team.
As a research intern in the Robotics team, you’ll have the unique opportunity to support the development and investigate core research problems in foundation models and skills for robotics, contribute to the development of completely open data sets, benchmarks, and models, and experiment with robots in the real world.
Your Next Challenge:
At Ai2, you will be working with world-class AI researchers and talented software engineers. We perform team-based, ambitious research, with a mandate to strive for big breakthroughs, not just incremental progress, in an exciting and interactive workplace.
All interns are paired with a mentor and will participate directly in Ai2's groundbreaking work. There are no restrictions on publications based on internships. Each of our research teams has a specific application for interested candidates, so please familiarize yourself with our projects and apply to the specific team(s) that best match your skills and interests.
Ai2 Research Interns will have the opportunity to do the following tasks:
- Reading the scientific literature to investigate and understand AI research
- Executing AI research under guidance of the mentor, which may include building AI systems or system components, developing datasets, and/or conducting experiments
- Meeting with the mentor to discuss research progress and ideas
To see more about our current, future, and past interns, check out our internship page on our website!
What You’ll Need:
Qualifications:
- Pursuing a degree in Computer Science or similar field with research experience in computer vision, robotics, machine learning, natural language processing, language and vision, or related areas.
- Have an interest in cutting-edge artificial intelligence research
Physical Demands and Work Environment:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.
- Must be able to remain in a stationary position for long periods of time.
- The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
- The ability to observe details at close range.
- Can work under deadlines.
A Little More About Ai2:
Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.
In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:
- We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers.
- We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
- We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
- We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
- We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
- We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
- We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do.
Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.
We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.
Benefits:
- Team members and their families are covered by medical, dental, vision, and an employee assistance program.
- Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
- Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
- Team members will accrue sick days per year in line with Seattle sick time requirements. If you are usually scheduled to work on a holiday that Ai2 recognizes as a day off, you will be paid for this day.
Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.
Ready to apply?
Apply to The Allen Institute for Artificial Intelligence
Senior Research Engineer, Olmo
Share this job
Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.
Our base salary range is $170,000 - $220,000, and in addition we have generous bonus plans to provide a competitive compensation package.
Who We Are:
We are a non-profit AI institute, focused on developing foundational AI research and innovation to deliver real-world impact through large-scale open models, data, and artifacts (e.g., Olmo, Tulu, Molmo). We unite the best and brightest scientific and engineering minds to explore the potential of truly open AI. Through our efforts, including the pioneering Olmo releases, we endeavor to empower academics, researchers, and AI developers more broadly to advance language models and generative AI models. Through close collaboration, we rapidly identify, define, and act on the most exciting and promising new ideas in AI.
Our team engages in a broad range of AI research, including pre-training and post-training language models, curating data to enhance AI across different modalities, and developing novel methodologies to push the field forward. We study and evaluate AI models both theoretically and empirically, aiming to advance their capabilities. Additionally, we create impactful real-world applications, such as in scientific synthesis. Our goal is to develop state-of-the-art models that excel in scientific discovery, reasoning, and factual recall.
Who You Are:
You are a talented, hands-on engineer who thrives in a fast-paced environment, is self-directed, a team player, and knows how to get things done. You have a deep knowledge of Python, infrastructure, and a strong understanding of modern deep learning, natural language processing, language models, and the inner workings of the transformer architecture. You can translate high-level goals into concrete research and implementation steps, set an approach, follow through, and present results. When it’s time to explain your ideas, you bring clarity to complex technical issues. You use these skills to create real-world benefits for researchers and other practitioners, and you are excited to help advance our effort to create the best-performing open AI model.
Your Next Challenge:
You will be a part of the core team of research and machine learning engineers working on the infrastructure, architecture, modeling and training of Olmo (Open Language Model) at all stages: pre-training, mid-training, post-training and all emerging paradigms. In this role you will be owning the design and implementation of the systems that train these models. You will be responsible for building scalable machine learning pipelines as we push the boundaries of large language modeling research. You will be collaborating with colleagues inside and outside your own team, but you are responsible for a feature or experiment from start to finish, from conception to implementation.
The essential functions include, but are not limited to the following:
- Building infrastructure to facilitate the next generation of LLM research
- Optimizing training and inference for language models
- Triaging between experiments and executing on the most impactful
- Supporting and collaborating with an open-source community
- Bridging the gap between cutting-edge research and a widely adopted product
- Bringing software engineering best practices to a research environment
- Releasing your contributions back to the broader community in the form of open source software, model releases, and additions to Ai2’s public API and open research datasets, as well as technical reports
What You’ll Need:
- Expertise at building ML infrastructure - having 4+ years of industry experience building infrastructure that handles data preprocessing/transformation and model training, evaluation, inference, and deployment
- Deep experience in the complete model development cycle, including data set construction, training, tuning, evaluation, performance profiling, and monitoring
- Knowledge of modern deep learning and natural language processing techniques
- Strong software engineering skills, particularly around building performant systems and debugging
- At-home with hands-on programming – must have experience with Python and PyTorch/Jax/Tensorflow. We expect you to be the kind of engineer who can pick up a new programming language, library, or API as needed without it being a big deal.
- Familiarity working with cloud compute resources (e.g. AWS) and containerization (e.g. Docker)
- Strong collaboration and communication skills - our environment is small and collaborative, and we'd like you to thrive while working closely with others, sometimes with complementary skills/perspectives
Bonus qualifications:
- Advanced degree in Data Science/CS/EE/Applied Mathematics/Statistics/ML/NLP or related fields and/or relevant and equivalent engineering experience
- Contributions to open-source ML or research libraries (e.g. spaCy, AllenNLP, transformers)
- Experience successfully operating models at scale in a production setting
- Experience in HPC settings
- Curiosity about AI research
Education:
- BS or MSc in Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field
Physical Demands and Work Environment:
The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.
- Must be able to remain in a stationary position for long periods of time.
- The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
- The ability to observe details at close range.
- Can work under deadlines.
A Little More About Ai2:
The Allen Institute for Artificial Intelligence is a non-profit research institute in Seattle founded by Paul Allen. The core mission of Ai2 is to contribute to humanity through high-impact research in artificial intelligence.
In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:
- We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers.
- We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
- We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
- We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
- We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
- We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
- We are friendly– chances are you will like every one of the 200+ people who work here. We do.
Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.
We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.
Benefits:
- Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.
- Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
- Team members are able to enroll in our company’s 401k plan.
- Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
- Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
- Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.
Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.
Ready to apply?
Apply to The Allen Institute for Artificial Intelligence
Research Scientist, Agents for Science
Share this job
Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.
Our base salary range is $167,030 - $260,570, and in addition we have generous bonus plans to provide a competitive compensation package.
Who You Are:
You are a creative, hands-on AI researcher with a strong foundation in AI and reasoning. Passionate about pushing the boundaries of research and engineering, you seek to advance AI both scientifically and openly. You thrive in collaborative environments, take initiative, and are eager to contribute to Ai2’s impact-driven mission in a dynamic, fast-paced research setting. Skilled at translating complex concepts into concrete research goals and implementation steps, you define clear approaches, execute effectively, and communicate results with clarity. You leverage these skills to create real-world benefits for researchers and practitioners alike and are excited to help drive the development of the best-performing open AI model.
Who We Are:
We are a non-profit AI institute, focused on developing foundational AI research and innovation to deliver real-world impact through large-scale open models, the science of agentic systems, data, and artifacts (e.g., OpenScholar, OLMo, Tulu, and Scholar QA). We unite the best and brightest scientific and engineering minds to explore the potential of truly open AI. Through our efforts we endeavor to empower academics, researchers, and AI developers more broadly to advance language models and reasoning-based agentic systems. Through close collaboration, we rapidly identify, define, and act on the most exciting and promising new ideas in AI.
Our team is focused on developing agentic systems to revolutionize the way science is performed. We engage in language model post-training, generating and curating data, layering control strategies (e.g., POMDPs) atop LLMs, and developing novel methodologies to push the field forward. We study and evaluate AI models both theoretically and empirically, aiming to advance their capabilities. Additionally, we create impactful real-world applications, such as in scientific synthesis. Our goal is to develop state-of-the-art models that excel in scientific reasoning spanning literature synthesis, hypothesis formation, scientific coding, execution of computational experiments, and data analysis. These systems will collaborate with human scientists, not replace them.
Your Next Challenge:
As a key member of the core team of research scientists and machine learning engineers at Ai2, you will drive the development of AI systems with deep reasoning capabilities with a focus on the huge breadth of skills necessary for scientific reasoning. In this role, you will lead foundational research to advance agentic systems, shape our strategic direction, and lay the groundwork for future innovations. You will also work towards long-term ambitious research goals, while identifying intermediate milestones.
The essential functions include, but are not limited to the following:
- Contribute to Ai2’s open source research environment to innovate, study and advance the science of generative AI and agentic systems.
- Take a leading role in building artifacts and implementing software systems with real-world impact
- Author and present high-quality scientific technical reports, papers, and presentations
- Collaborate with and learn from team members across Ai2, including scientists and engineers
- Mentor early-career researchers and interns on their projects
- Develop collaborative relationships with relevant academic, industrial, government, and standards organizations
What You’ll Need:
- A PhD focusing on machine learning, reasoning, natural language processing, or a related area, with expertise in one or more of the following: reinforcement learning, experimental methodology, language models, the science of deep learning, or efficient algorithms for deep learning. Curiosity about all of the above is a plus.
- The ability to own and pursue a research agenda to improve AI model reasoning capabilities.
- Enthusiasm for collaboration and teamwork on ambitious projects aligned with company goals.
- Experience leading a team to solve analytical problems (a plus).
- Contributions to open-source research libraries and an interest in continuing such work (a plus).
Physical Demands and Work Environment:
The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.
- Must be able to remain in a stationary position for long periods of time.
- The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
- The ability to observe details at close range.
- Can work under deadlines.
A Little More About Ai2:
Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.
In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:
- We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers.
- We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
- We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
- We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
- We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
- We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
- We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do.
Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.
We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.
Benefits:
- Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.
- Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
- Team members are able to enroll in our company’s 401k plan.
- Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
- Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
- Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.
Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.
Ready to apply?
Apply to The Allen Institute for Artificial Intelligence
Research Engineer, FlexOlmo
Share this job
Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.
Our base salary range is $128,880 - $193,320, and in addition we have generous bonus plans to provide a competitive compensation package.
Who You Are:
Ai2 is seeking talented and motivated Research Engineer, working on the next generation of large language model architectures , with a focus on Mixture-of-Experts (MoE), long-context language models (LCLMs), and flexible data use..
You are a talented, hands-on engineer who thrives in a fast-paced environment, is self-directed, a team player, and knows how to get things done. You have a strong understanding of modern deep learning, natural language processing, language models, and the inner workings of the transformer architecture, especially MoEs. You can translate high-level goals into concrete research and implementation steps, set an approach, follow through, and present results. When it’s time to explain your ideas, you bring clarity to complex technical issues. You use these skills to create real-world benefits for researchers and other practitioners, and you are excited to help advance our effort to create the best-performing open AI model.
Who We Are:
We are a non-profit AI institute, focused on developing foundational AI research and innovation to deliver real-world impact through large-scale open models, data, and artifacts (e.g., OLMo, Tulu, Asta, OlmoEarth). We unite the best and brightest scientific and engineering minds to explore the potential of truly open AI. Through our efforts, we endeavor to empower academics, researchers, and AI developers more broadly to advance language models and generative AI models. Through close collaboration, we rapidly identify, define, and act on the most exciting and promising new ideas in AI.
The FlexOlmo team designs new architectures and training methods that help models use data more effectively—through improved training, inference-time conditioning, and retrieval—broadening the types of data they can leverage and ultimately enhancing performance. We also develop scientific methodologies for evaluating and understanding these systems. Our team produces high-impact research and expertly engineered open-source tools that accelerate NLP research worldwide. Our first release in July 2025 focused on a new Mixture-of-Experts architecture. Looking ahead, we plan to pursue creative, groundbreaking research that delivers scientific insights and practical solutions for building architectures and training methods that unlock the use of large and diverse data sources.
Your Next Challenge:
You will be a part of the core team of research engineers working on the infrastructure, architecture, modeling and training of the next generation of architectures of foundation models, with a focus on continual learning. In this role you will be owning the design and implementation of the systems that train these models. You will be responsible for building scalable machine learning pipelines as we push the boundaries of large language modeling research. You will be collaborating with colleagues inside and outside your own team, but you are responsible for a feature or experiment from start to finish, from conception to implementation.
The essential functions include, but are not limited to the following:
- Building infrastructure to facilitate the next generation of LLM research.
- Optimizing training and inference for language models.
- Triaging between experiments and executing on the most impactful.
- Bridging the gap between cutting-edge research and a widely adopted product.
- Bringing software engineering best practices to a research environment.
- Supporting and collaborating with an open-source community.
- Releasing your contributions back to the broader community in the form of open source software, model releases, and additions to Ai2’s public API and open research datasets, as well as technical reports.
What You’ll Need:
- A bachelor’s degree in Data Science/CS/EE/Applied Mathematics/Statistics/ML/NLP, or a related field, or equivalent relevant experience, and expertise at building ML infrastructure.
- 4+ years of experience building infrastructure that handles data preprocessing/transformation and model training, evaluation, inference, and deployment. Experience in the complete model development cycle, including data set construction, training, tuning, evaluation, performance profiling, and monitoring.
- Knowledge of modern deep learning and natural language processing techniques.
- Strong software engineering skills, particularly around building performant systems and debugging.
- Must have experience with Python and PyTorch/Jax/Tensorflow as well as feel at ease in picking up new programming languages, libraries, or APIs as tools as project needs evolve.
- Familiarity working with cloud compute resources (e.g. AWS) and containerization (e.g. Docker).
- Strong collaboration and communication skills - our environment is small and collaborative, and we'd like you to thrive while working closely with others, sometimes with complementary skills/perspectives.
Bonus qualifications:
- Advanced degree in Data Science/CS/EE/Applied Mathematics/Statistics/ML/NLP or related fields and/or relevant and equivalent engineering experience.
- Contributions to open-source ML or research libraries (e.g. spaCy, AllenNLP, transformers).
- Experience successfully operating models at scale in a production setting.
- Experience in HPC settings.
- Curiosity about AI research.
Physical Demands and Work Environment:
The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.
- Must be able to remain in a stationary position for long periods of time.
- The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.
- The ability to observe details at close range.
- Can work under deadlines.
A Little More About Ai2:
Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.
In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:
- We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers.
- We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
- We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
- We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
- We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
- We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
- We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do.
Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links.
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.
We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.
Benefits:
- Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.
- Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
- Team members are able to enroll in our company’s 401k plan.
- Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
- Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
- Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.
Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.
Ready to apply?
Apply to The Allen Institute for Artificial Intelligence
Sr. Product Designer, AI/BI
Share this job
RDQ427R273
Mission
At Databricks, our mission is to simplify and democratize data and AI so more organizations can solve the world’s toughest problems. As a Product Designer focused on AI/BI experiences, your mission is to make advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable for both technical and non-technical users.
As a Product Designer focused on AI/BI experiences, you won’t just design dashboards or workflows. You’ll design how humans and AI think together.
You’ll help define what it feels like to ask a question of your company’s data in plain language — and receive an answer you can trust. You’ll shape how insights are generated, explained, challenged, and shared. You’ll craft the bridge between complex AI systems and real human decisions. You'll be working closely with the product and engineering teams based in Seattle.
The impact you will have:
- Reimagine how users explore data using natural language and AI assistance
- Design interactions that make AI-generated insights transparent and trustworthy
- Create experiences that move from exploration → validation → action in minutes
- Enable collaboration between data engineers, analysts, and business leaders
- Help define new design patterns for AI-native enterprise software
- Influence long-term AI/BI strategy, contributing to how Databricks differentiates in the modern analytics landscape.
What we look for:
- 5+ years of product design work experience.
- A bachelor's degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines.
- You’re comfortable talking to strategic customers in key decision-making positions.
- Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA.
- Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders.
- Can execute beautiful visual and interaction work that’s rooted in a data-driven and well-researched UX process.
- A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally.
- You have a unique combination of technical knowledge and visual design skills, which allows you to design powerful and intuitive engineering tooling.
- A portfolio showcasing the end-to-end design process.
- Experience designing products in the Cloud, Developer Experience, AI, or Big Data space is a nice-to-have.
- Coding React, SQL, CSS, and/or Python is a nice-to-have.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Sr. Product Designer, AI/BI
Share this job
RDQ427R273
Mission
At Databricks, our mission is to simplify and democratize data and AI so more organizations can solve the world’s toughest problems. As a Product Designer focused on AI/BI experiences, your mission is to make advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable for both technical and non-technical users.
As a Product Designer focused on AI/BI experiences, you won’t just design dashboards or workflows. You’ll design how humans and AI think together.
You’ll help define what it feels like to ask a question of your company’s data in plain language — and receive an answer you can trust. You’ll shape how insights are generated, explained, challenged, and shared. You’ll craft the bridge between complex AI systems and real human decisions. You'll be working closely with the product and engineering teams based in Seattle.
The impact you will have:
- Reimagine how users explore data using natural language and AI assistance
- Design interactions that make AI-generated insights transparent and trustworthy
- Create experiences that move from exploration → validation → action in minutes
- Enable collaboration between data engineers, analysts, and business leaders
- Help define new design patterns for AI-native enterprise software
- Influence long-term AI/BI strategy, contributing to how Databricks differentiates in the modern analytics landscape.
What we look for:
- 5+ years of product design work experience.
- A bachelor's degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines.
- You’re comfortable talking to strategic customers in key decision-making positions.
- Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA.
- Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders.
- Can execute beautiful visual and interaction work that’s rooted in a data-driven and well-researched UX process.
- A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally.
- You have a unique combination of technical knowledge and visual design skills, which allows you to design powerful and intuitive engineering tooling.
- A portfolio showcasing the end-to-end design process.
- Experience designing products in the Cloud, Developer Experience, AI, or Big Data space is a nice-to-have.
- Coding React, SQL, CSS, and/or Python is a nice-to-have.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Gradial helps marketers and creatives move from idea to execution faster. Our platform turns intent into action, automating website updates, design system migrations, and ongoing content optimization while preserving brand integrity across every touchpoint.
Backed by leading investors, we’re building software that adapts to the user, not the other way around. We move with urgency, operate with ownership, and solve hard problems from first principles. If you want to do ambitious work, take real responsibility, and help define the future of AI-native content operations, you’ll do your best work here.
The Role
Gradial is looking for a Senior Software Engineer to lead the development of AI-native systems that redefine how creative teams build and update websites. As an early engineer, you’ll be integral to figuring out how to use and program LLMs to redefine how people do work.
You’ll play a key role in shaping our technical direction, working closely with product and design to bring powerful, intuitive tools to life. This is an opportunity to help architect the foundation of a fast-moving product and contribute to a high-agency, low-ego team focused on real-world impact.
What You'll Own
- Lead the design and implementation of systems that convert natural language into intelligent, multi-step workflows using generative AI
- Architect and scale an LLM agent for real-time inference, dynamic prompting, and tool orchestration
- Drive technical direction across the stack - from backend systems to front-end UX—with a focus on performance, scalability, and long-term maintainability
- Design systems that learn over time - integrating customer feedback, usage data, and brand preferences
- Mentor and guide other engineers; influence engineering culture, standards, and best practices
- Collaborate with design and product to reshape the software in real-time; adding/removing features or adjusting layout on the fly
- Ensure scalability, reliability and performance through strong testing, deployment, and observability practices
- Operate without silos: own the problem and the solution from end to end
What We're Looking For
- 5+ years of professional experience
- Proven experience delivering complex systems in fast-paced or ambiguous environments
- Deep technical expertise in algorithms, distributed systems, and software design
- Strong communication skills and the ability to influence across functions
- Experience solving high-variance or unstructured problems with elegant, product-minded solutions
- Background in math, physics, systems engineering, or other technical domains
- High ownership mindset with a track record of going from 0→1
Nice to Have
- Experience in high-growth or early-stage startups
- Familiarity with AI/ML tooling and LLMs
- Proficiency with TypeScript or similar languages
Compensation
The salary range for this position is $130,000 – $220,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs.
You'll thrive here if you...
- Embrace AI as a core tool for problem-solving, creativity and scale.
- Show a strong work ethic, high ownership and bias toward action.
- Communicate with clarity and curiosity.
- Thrive in fast-paced, hyper-growth environments; where building is always better than maintaining the status quo.
What we offer
- Meaningful equity and competitive salary
- Comprehensive health, dental and vision coverage
- Fast-paced environment with autonomy and ownership
- Real impact, zero bureaucracy
- A front-row seat to building category-defining AI infrastructure
AI Literacy & Interviewing Tools
As an AI-first company, we prioritize AI literacy as a core competency in our hiring decisions. We’re excited by candidates who thoughtfully apply AI tools in their work, but during interviews we’re focused on you. This is your opportunity to show how you think, communicate, and solve problems. Over-reliance on AI-generated responses during the interview process (especially when it obscures your own voice) will result in disqualification. We want to understand your unique perspective and how you approach challenges, both with and without AI.
Privacy Policy
By submitting your application to Gradial, you acknowledge that any personal data you provide will be processed in accordance with our Privacy Policy. This includes the collection, use, and storage of your information for the purposes of evaluating your qualifications and communicating with you about your candidacy. We handle applicant data with care and in compliance with applicable data protection laws.
If you have any questions about how your information is used, please refer to our Privacy Policy or contact us directly.
Applicants who require reasonable accommodation to participate in the application or interview process should contact us at careers@gradial.com to request assistance.
Ready to apply?
Apply to Gradial
Gradial helps marketers and creatives move from idea to execution faster. Our platform turns intent into action, automating website updates, design system migrations, and ongoing content optimization while preserving brand integrity across every touchpoint.
Backed by leading investors, we’re building software that adapts to the user, not the other way around. We move with urgency, operate with ownership, and solve hard problems from first principles. If you want to do ambitious work, take real responsibility, and help define the future of AI-native content operations, you’ll do your best work here.
The Role
Gradial is seeking a Principal Software Engineer to drive the architecture and technical vision behind AI-native systems that transform how creative teams build and update websites. As a foundational technical leader, you’ll push the boundaries of how LLMs can power real-world workflows and reimagine the intersection of language, software, and creativity.
You’ll work closely with engineering, product, and design leaders to shape not just features, but the technical backbone and strategic direction of the company. This is a rare opportunity to set the blueprint for a fast-evolving product in a high-agency, low-ego environment committed to solving hard problems from first principles.
What You'll Own
- Define and drive the technical architecture for systems that convert natural language into intelligent, multi-step workflows using generative AI.
- Lead the design, implementation, and scaling of LLM agents for real-time inference, dynamic prompting, memory management, and tool orchestration.
- Set engineering standards and influence system design across the stack, with a focus on performance, reliability, and long-term extensibility.
- Design learning systems that integrate customer feedback, usage data, and brand preferences to evolve autonomously over time.
- Mentor senior engineers, fostering a culture of technical excellence, rapid iteration, and ownership.
- Collaborate deeply with product and design leaders to rethink how interfaces and features dynamically adapt to user intent.
- Champion best practices in testing, observability, deployment, and operational excellence to ensure system health at scale.
- Own critical, ambiguous problem spaces from end to end, advocating for technical and product innovation.
What We're Looking For
- 8+ years of professional software engineering experience, including significant leadership of complex technical initiatives.
- Deep expertise in distributed systems, algorithms, and scalable software design.
- Proven track record architecting and shipping systems in fast-moving, high-ambiguity environments.
- Hands-on experience with LLM integration, generative AI frameworks, or building AI-native applications.
- Strong communication and cross-functional leadership skills, with the ability to influence technical and non-technical audiences.
- High-agency, ownership-driven mindset with a passion for solving real-world problems at scale.
- Background in technical fields such as computer science, mathematics, physics, or systems engineering.
Nice to Have
- Experience building or scaling AI agent architectures for production environments.
- Prior experience in early-stage startups where you owned both strategy and execution.
- Passion for designing systems that blend technical sophistication with elegant, intuitive user experiences.
Compensation
The salary range for this position is $160,000 – $250,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs.
You'll thrive here if you...
- Embrace AI as a core tool for problem-solving, creativity and scale.
- Show a strong work ethic, high ownership and bias toward action.
- Communicate with clarity and curiosity.
- Thrive in fast-paced, hyper-growth environments; where building is always better than maintaining the status quo.
What we offer
- Meaningful equity and competitive salary
- Comprehensive health, dental and vision coverage
- Fast-paced environment with autonomy and ownership
- Real impact, zero bureaucracy
- A front-row seat to building category-defining AI infrastructure
AI Literacy & Interviewing Tools
As an AI-first company, we prioritize AI literacy as a core competency in our hiring decisions. We’re excited by candidates who thoughtfully apply AI tools in their work, but during interviews we’re focused on you. This is your opportunity to show how you think, communicate, and solve problems. Over-reliance on AI-generated responses during the interview process (especially when it obscures your own voice) will result in disqualification. We want to understand your unique perspective and how you approach challenges, both with and without AI.
Privacy Policy
By submitting your application to Gradial, you acknowledge that any personal data you provide will be processed in accordance with our Privacy Policy. This includes the collection, use, and storage of your information for the purposes of evaluating your qualifications and communicating with you about your candidacy. We handle applicant data with care and in compliance with applicable data protection laws.
If you have any questions about how your information is used, please refer to our Privacy Policy or contact us directly.
Applicants who require reasonable accommodation to participate in the application or interview process should contact us at careers@gradial.com to request assistance.
Ready to apply?
Apply to Gradial
Engineering Manager, Machine Learning Operations
Share this job
At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
About the Role:
As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!
As an Engineering Manager, Machine Learning (ML) Operations in the Technology & Engineering division, you will be responsible for leading and managing PitchBook’s MLOps team. The team is responsible for enabling PitchBook’s Machine Learning teams and practitioners by providing tools and golden paths that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC). Your team’s work will support projects in a variety of domains, including Generative AI (GenAI), Large Language Models (LLMs), Natural Language Processing (NLP), Classification, and Regression. Your role will be critical in driving AI (Artificial Intelligence) innovations across the organization.
Primary Job Responsibilities:
- Lead the MLOps team direction and execution (operations, processes, practices, and standards), working closely with engineering leadership and product management to craft roadmaps, define KPIs, and achieve success criteria
- Ensure effective communication and coordination across geographically dispersed teams. Oversee the enablement of scalable solutions that meet high standards of reliability and efficiency
- Champion the adoption and integration of ML best practices at PitchBook, fostering a culture of innovation and experimentation to drive the development of high-quality AI products
- Serve as a force multiplier by removing roadblocks, implementing process improvements, providing frequent and actionable feedback to team members, and building practices for ideation and innovation
- Bridge the gap between business/product needs and execution, including building and delivering on group-level objectives and key results, identifying resource needs, and building execution plans for initiatives
- Ensure MLOps roadmap items are delivered on time and have exceptional quality
- Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities
- Describe technical content in intuitive ways for a variety of audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with executive stakeholders
- Establish and drive a culture founded on creating belonging, psychological safety, candor, connection, cooperation, and fun
- Understand how to apply agile, lean, and principles of fast flow to team efficiency and productivity
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various company initiatives and projects as requested
Skills and Qualifications:
- Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Data Science, or a related field
- 3+ years of experience in an engineering leadership role, managing globally distributed teams
- 6+ years of experience in hands-on development of Machine Learning algorithms
- 6+ years of experience in hands-on deployment of Machine Learning services
- 6+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance
- 6+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
- Experience with at least 70%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, and KubeFlow
- Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement
- Experience in cloud-native delivery with a deep practical understanding of containerization technologies such as Kubernetes and Docker, and the ability to manage these across different regions
- Proficiency in GitOps and creation/management of CI/CD pipelines
- Demonstrated experience building and using SQL/NoSQL databases
- Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools
- Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context
- Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions
- Ability to be a team player who can also work independently
- Experience working across multiple development teams is a plus
- Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Benefits + Compensation at PitchBook:
Physical Health
- Comprehensive health benefits
- Additional medical wellness incentives
- STD, LTD, AD&D, and life insurance
Emotional Health
- Paid sabbatical program after four years
- Paid family and paternity leave
- Annual educational stipend
- Ability to apply for tuition reimbursement
- CFA exam stipend
- Robust training programs on industry and soft skills
- Employee assistance program
- Generous allotment of vacation days, sick days, and volunteer days
Social Health
- Matching gifts program
- Employee resource groups
- Subsidized emergency childcare
- Dependent Care FSA
- Company-wide events
- Employee referral bonus program
- Quarterly team building events
Financial Health
- 401k match
- Shared ownership employee stock program
- Monthly transportation stipend
*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.
Compensation
- Annual base salary: $240,000-$300,000
- Target annual bonus percentage: 15%
Working Conditions:
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
#LI-TK1
#LI-Onsite
Ready to apply?
Apply to PitchBook Data
Sr. Machine Learning Engineer
Share this job
At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
About the Role:
As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!
As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook’s wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform.
You will be deeply involved in the end-to-end development and operationalization of ML models, including their architecture, training, deployment, and ongoing maintenance. Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical challenges, contribute to architectural decisions, and collaborate closely with other engineers, data scientists, and product managers to ensure that your work aligns with business goals and AI/ML strategy.
Your contributions will help unlock unique value for PitchBook customers by improving the speed, discoverability, quality, and quantity of insights available on the platform. This includes developing models that can infer meaning and structure from millions of discrete data sources, and applying ML to enrich our datasets with predictive and generative intelligence. As a senior engineer, you will take ownership of key technical components and ensure that our systems meet the highest standards of performance, reliability, and security.
Primary Job Responsibilities:
- Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities
- Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards
- Support a culture of technical excellence by mentoring peers, sharing knowledge, and participating in code and design reviews. Promote innovation and continuous improvement through collaborative engineering practices
- Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams
- Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals
- Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook’s AI capabilities
- Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects
- Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices
- Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various company initiatives and projects as requested
Skills and Qualifications:
- Bachelor’s or advanced degree in Computer Science, Mathematics, Data Science, or a related technical field, advanced degree preferred
- 6+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction
- Demonstrated expertise in natural language processing (NLP) and machine learning, including hands-on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch
- Experience delivering production-grade GenAI or LLM-based systems with measurable business impact
- Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus
- Deep proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake
- Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus
- Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes
- Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions
- Excellent communication and collaboration skills, with experience working cross-functionally with product managers, engineers, and data scientists in globally distributed teams
- Experience working in fast-paced, data-driven environments. Prior exposure to fintech or financial data platforms is a strong advantage
- Experience authoring research papers for peer-reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Benefits + Compensation at PitchBook:
Physical Health
- Comprehensive health benefits
- Additional medical wellness incentives
- STD, LTD, AD&D, and life insurance
Emotional Health
- Paid sabbatical program after four years
- Paid family and paternity leave
- Annual educational stipend
- Ability to apply for tuition reimbursement
- CFA exam stipend
- Robust training programs on industry and soft skills
- Employee assistance program
- Generous allotment of vacation days, sick days, and volunteer days
Social Health
- Matching gifts program
- Employee resource groups
- Subsidized emergency childcare
- Dependent Care FSA
- Company-wide events
- Employee referral bonus program
- Quarterly team building events
Financial Health
- 401k match
- Shared ownership employee stock program
- Monthly transportation stipend
*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.
Compensation
- Annual base salary: $170,000-$240,000
- Target annual bonus percentage: 10%
Working Conditions:
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
#LI-MS1
#LI-Onsite
Ready to apply?
Apply to PitchBook Data
Machine Learning Engineer
Share this job
At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
About the Role:
As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!
As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook’s wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform.
You will be deeply involved in the end-to-end development and operationalization of ML models, including their architecture, training, deployment, and ongoing maintenance. Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical challenges, contribute to architectural decisions, and collaborate closely with other engineers, data scientists, and product managers to ensure that your work aligns with business goals and AI/ML strategy.
Your contributions will help unlock unique value for PitchBook customers by improving the speed, discoverability, quality, and quantity of insights available on the platform. This includes developing models that can infer meaning and structure from millions of discrete data sources and applying ML to enrich our datasets with predictive and generative intelligence.
Primary Job Responsibilities:
- Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities
- Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards
- Contribute to a culture of technical excellence by sharing knowledge, pairing with teammates, and actively participating in code and design reviews. Provide situational guidance to junior engineers and contribute to team best practices
- Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams
- Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals
- Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook’s AI capabilities
- Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects
- Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices
- Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various company initiatives and projects as requested
Skills and Qualifications:
- Bachelor’s degree in Computer Science, Mathematics, Data Science, or related technical field, advanced degrees are preferred
- 2+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction
- Demonstrated expertise in natural language processing (NLP) and machine learning, including hands-on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch
- Experience delivering production-grade GenAI or LLM-based systems with measurable business impact
- Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus
- Proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake
- Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus
- Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes
- Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions
- Excellent communication and collaboration skills, with experience working cross-functionally with product managers, engineers, and data scientists in globally distributed teams
- Experience working in fast-paced, data-driven environments. Prior exposure to fintech or financial data platforms is a strong advantage
- Experience authoring research papers for peer-reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Benefits + Compensation at PitchBook:
Physical Health
- Comprehensive health benefits
- Additional medical wellness incentives
- STD, LTD, AD&D, and life insurance
Emotional Health
- Paid sabbatical program after four years
- Paid family and paternity leave
- Annual educational stipend
- Ability to apply for tuition reimbursement
- CFA exam stipend
- Robust training programs on industry and soft skills
- Employee assistance program
- Generous allotment of vacation days, sick days, and volunteer days
Social Health
- Matching gifts program
- Employee resource groups
- Subsidized emergency childcare
- Dependent Care FSA
- Company-wide events
- Employee referral bonus program
- Quarterly team building events
Financial Health
- 401k match
- Shared ownership employee stock program
- Monthly transportation stipend
*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.
Compensation
- Annual base salary: $125,000-$180,000
- Target annual bonus percentage: 10%
Working Conditions:
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
#LI-MS1
#LI-Onsite
Ready to apply?
Apply to PitchBook Data
Engineering Manager, Machine Learning Operations
Share this job
At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
About the Role:
As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!
As an Engineering Manager, Machine Learning (ML) Operations in the Technology & Engineering division, you will be responsible for leading and managing PitchBook’s MLOps team. The team is responsible for enabling PitchBook’s Machine Learning teams and practitioners by providing tools and golden paths that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC). Your team’s work will support projects in a variety of domains, including Generative AI (GenAI), Large Language Models (LLMs), Natural Language Processing (NLP), Classification, and Regression. Your role will be critical in driving AI (Artificial Intelligence) innovations across the organization.
Primary Job Responsibilities:
- Lead the MLOps team direction and execution (operations, processes, practices, and standards), working closely with engineering leadership and product management to craft roadmaps, define KPIs, and achieve success criteria
- Ensure effective communication and coordination across geographically dispersed teams. Oversee the enablement of scalable solutions that meet high standards of reliability and efficiency
- Champion the adoption and integration of ML best practices at PitchBook, fostering a culture of innovation and experimentation to drive the development of high-quality AI products
- Serve as a force multiplier by removing roadblocks, implementing process improvements, providing frequent and actionable feedback to team members, and building practices for ideation and innovation
- Bridge the gap between business/product needs and execution, including building and delivering on group-level objectives and key results, identifying resource needs, and building execution plans for initiatives
- Ensure MLOps roadmap items are delivered on time and have exceptional quality
- Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities
- Describe technical content in intuitive ways for a variety of audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with executive stakeholders
- Establish and drive a culture founded on creating belonging, psychological safety, candor, connection, cooperation, and fun
- Understand how to apply agile, lean, and principles of fast flow to team efficiency and productivity
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various company initiatives and projects as requested
Skills and Qualifications:
- Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Data Science, or a related field
- 3+ years of experience in an engineering leadership role, managing globally distributed teams
- 6+ years of experience in hands-on development of Machine Learning algorithms
- 6+ years of experience in hands-on deployment of Machine Learning services
- 6+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance
- 6+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
- Experience with at least 70%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, and KubeFlow
- Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement
- Experience in cloud-native delivery with a deep practical understanding of containerization technologies such as Kubernetes and Docker, and the ability to manage these across different regions
- Proficiency in GitOps and creation/management of CI/CD pipelines
- Demonstrated experience building and using SQL/NoSQL databases
- Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools
- Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context
- Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions
- Ability to be a team player who can also work independently
- Experience working across multiple development teams is a plus
- Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
- Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Benefits + Compensation at PitchBook:
Physical Health
- Comprehensive health benefits
- Additional medical wellness incentives
- STD, LTD, AD&D, and life insurance
Emotional Health
- Paid sabbatical program after four years
- Paid family and paternity leave
- Annual educational stipend
- Ability to apply for tuition reimbursement
- CFA exam stipend
- Robust training programs on industry and soft skills
- Employee assistance program
- Generous allotment of vacation days, sick days, and volunteer days
Social Health
- Matching gifts program
- Employee resource groups
- Subsidized emergency childcare
- Dependent Care FSA
- Company-wide events
- Employee referral bonus program
- Quarterly team building events
Financial Health
- 401k match
- Shared ownership employee stock program
- Monthly transportation stipend
*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.
Compensation
- Annual base salary: $240,000-$300,000
- Target annual bonus percentage: 15%
Working Conditions:
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
#LI-TK1
#LI-Onsite
Ready to apply?
Apply to PitchBook Data
Principal Machine Learning Engineer
Share this job
Join Axon and be a Force for Good.
At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact
Are you passionate about AI? Do you love engineering solutions enabling fast, cutting-edge science? Are you eager to contribute to building products impacting the world for the greater good?
As a Principal ML Engineer at Dedrone, you will contribute to architecting and implementing the platform used by Dedrone scientists to bring safe, secure, reliable AI features to the field of counter UAS devices. Collaborating closely with scientists and software engineers, you will enable new AI capabilities for Dedrone products. As part of a multidisciplinary team, you will be exposed to a wide range of domains and applications: from Multi-modal Sensor Fusion to Real Time Systems with distributed edge compute.
The ideal candidate will have a consistent track record of successfully optimizing models for the edge and deploying AI models at the edge, including on device with limited memory & connectivity, to serve users world wide. They will understand the AI lifecycle and be capable of supporting scientists end-to-end along the development of new machine learning models and AI capabilities, leading to better and more responsible AI solutions. They are willing to be bold and stand up to support the team in enabling drone safety measures across Public Safety, Enterprise and Defense domains.
What You’ll Do
Location: Hybrid from Seattle, WA
Reports to: VP, Dedrone Engineerin
- Architect and develop secure, privacy-preserving, on device solutions to enable the continuous improvement of existing AI models.
- Collaborate with scientists in architecting and implementing state-of-the-art edge distributed training techniques.
- Implement on device monitoring solutions used for continuous model improvement
- Implement innovative model compression solutions to enable AI at the edge.
- Impact the team by bringing your own expertise and deep knowledge of the state-of-the-art to introduce new techniques leading to tangible impact in terms of model fairness, performance, and platform scalability.
What You Bring
- Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
- 13+ years of software engineering experience and a proven track record of successfully architecting and maintaining large-scale distributed platforms.
- Experience with AI on chips, on device model deployment and management.
- Proficiency in python, C++, familiarity with ML frameworks such as TensorFlow, or PyTorch.
- Advanced knowledge and hands-on experience with on chips development.
- Excellent problem solving skills and ability to dive into system architecture, design, performance metrics, code, test plans, project plans, deployments and operations
- Comfort communicating and interacting with scientists, engineers and product managers.
Preferred
- Master’s Degree or PhD in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
- Hands-on experience in solving Computer Vision or Natural Language Understanding problems in a business setting.
- Familiarity with responsible AI, de-biasing, model encryption and de-identification techniques.
Benefits that Benefit You
- Competitive salary and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
- Learning & Development programs
- Employee Resource Groups (ERGs)
- And yes, we have snacks in our offices
Benefits listed herein may vary depending on the nature of your employment and the location where you work.
Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.
#LI-Hybrid
Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers.
Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Important Notes
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.
Some roles may also require legal eligibility to work in a firearms environment.
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.
Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
Ready to apply?
Apply to AxonSenior Machine Learning Engineer II
Share this job
Join Axon and be a Force for Good.
At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact
Are you passionate about AI? Do you love engineering solutions enabling fast, cutting-edge science? Are you eager to contribute to building products impacting the world for the greater good?
As a ML Engineer at Axon, you will contribute to architecting and implementing the platform used by Axon scientists to bring safe, secure, reliable AI features to Axon devices. Collaborating closely with scientists and device engineers, you will enable new AI capabilities for Axon products (Fleet, Axon Body, Axon Air, and more). You will also make sure As part of a multidisciplinary team, you will be exposed to a wide range of domains and applications: from Automatic License Plates Recognition to Object Tracking and Automatic Speech Recognition.
The ideal candidate will have a consistent track record of successfully optimizing models for the edge and deploying AI models at the edge, including on device with limited memory & connectivity, to serve users world wide. They will understand the AI lifecycle and be capable of supporting scientists end-to-end along the development of a new machine learning models and AI capabilities, leading to better and more responsible AI solutions. They are willing to be bold and stand up to support the team in enabling features transforming the life of officers, and driving a positive impact in the public safety space.
What You’ll Do
Location: Hybrid from Seattle, WA
Reports to: Senior Director, AI Platform Engineering
Direct Reports:
- Architect and develop secure, privacy-preserving, on device solutions to enable the continuous improvement of existing AI models.
- Collaborate with scientists in architecting and implementing state-of-the-art edge distributed training techniques.
- Implement on device monitoring solutions used for continuous model improvement
- Implement innovative model compression solutions to enable AI at the edge.
- Impact the team by bringing your own expertise and deep knowledge of the state-of-the-art to introduce new techniques leading to tangible impact in terms of model fairness, performance, and platform scalability.
What You Bring
- Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
- 10+ years of software engineering experience and a proven track record of successfully architecting and maintaining large-scale distributed platforms.
- Experience with AI on chips, on device model deployment and management.
- Proficiency in python, C++, familiarity with ML frameworks such as TensorFlow, or PyTorch.
- Advanced knowledge and hands-on experience with on chips development.
- Excellent problem solving skills and ability to dive into system architecture, design, performance metrics, code, test plans, project plans, deployments and operations
- Comfort communicating and interacting with scientists, engineers and product managers.
Preferred
- Master’s Degree in Computer Science, Engineering, Physics, Mathematics or an equivalent highly technical field.
- Hands-on experience in solving Computer Vision or Natural Language Understanding problems in a business setting.
- Familiarity with responsible AI, de-biasing, model encryption and de-identification techniques.
Benefits that Benefit You
- Competitive salary and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
- Learning & Development programs
- Employee Resource Groups (ERGs)
- And yes, we have snacks in our offices
Benefits listed herein may vary depending on the nature of your employment and the location where you work.
Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.
#LI-Hybrid
Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers.
Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Important Notes
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.
Some roles may also require legal eligibility to work in a firearms environment.
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.
Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
Ready to apply?
Apply to AxonSenior Machine Learning Engineer
Share this job
Join Axon and be a Force for Good.
At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact
Are you eager to contribute to building AI products impacting the world for the greater good?
As an ML Engineer at Axon, you will contribute to developing AI solutions transforming the public safety space and supporting our company’s mission: accelerate justice, protect truth, and save lives. Working closely with other ML engineers and scientists, you will enable new AI capabilities for Axon’s products (Fleet, Draft One, Axon Air, VR and more) by supporting the training, evaluation, testing and deployment of machine learning models on Axon devices and cloud.
As part of a multidisciplinary team, you will be exposed to a wide range of AI domains and applications: from computer vision to speech recognition and natural language understanding.
What You’ll Do
Location: Hybrid from our office in Seattle, Washington.
Reports to: Manager, Machine Learning Engineering
- Collaborate with scientists and product managers to build proof-of-concepts (POCs) contributing to shaping the Axon of tomorrow.
- Architect and develop secure, privacy-preserving, solutions to enable the continuous improvement of existing AI models.
- Architect platforms that accelerate research and AI product development.
- Collaborate with scientists in architecting and implementing state-of-the-art training techniques.
- Set high standards for ethical and responsible AI development.
What You Bring
- Bachelor’s Degree in Computer Science, Engineering, Electronics, Mathematics or an equivalent highly technical field.
- 6+ years of software engineering experience and a proven track record of successfully deploying AI models to the cloud.
- Experience with Infrastructure-as-code and cloud architecture.
- Proficiency in Python and C++, familiarity with ML frameworks such as TensorFlow, or PyTorch.
- Advanced knowledge and hands-on experience with Linux.
- Excellent problem solving skills and ability to dive deep into system architecture.
- Excellent software design skills.
- Comfort communicating and interacting with scientists, engineers and product managers.
What You Bring
- Master’s Degree/PhD in Computer Science, Engineering, Electronics, Mathematics or an equivalent highly technical field.
- Experience with LLMOps - evaluation, monitoring, quantization, teacher-learner, etc.).
- Hands-on experience with fine-tuning large parameter models.
- Familiarity with model encryption and privacy preserving AI techniques.
Benefits that Benefit You
- Competitive salary and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
- Learning & Development programs
- And yes, we have snacks in our offices
Benefits listed herein may vary depending on the nature of your employment and the location where you work
Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.
#LI-Hybrid
Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers.
Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Important Notes
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.
Some roles may also require legal eligibility to work in a firearms environment.
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.
Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
Ready to apply?
Apply to Axon
Senior / Staff+ Software Engineer, Voice Platform
Share this job
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We're building the infrastructure that lets people talk to Claude—real-time, bidirectional voice conversations that feel natural, responsive, and safe. This is foundational work for how millions of people will interact with AI.
The Voice Platform team designs and operates the serving systems, streaming pipelines, and APIs that bring Anthropic's audio models from research into production across Claude.ai, our mobile apps, and the Anthropic API. You'll work at the intersection of real-time media, low-latency inference, and distributed systems—building infrastructure where every millisecond of latency is felt by the user.
We partner closely with the Audio research team, who train the speech understanding and generation models, and with product teams shipping voice experiences to users. Your job is to make those models fast, reliable, and delightful to talk to at scale.
What you'll do
- Design and build the real-time streaming infrastructure that powers voice conversations with Claude—ingesting microphone audio, orchestrating model inference, and streaming synthesized speech back with minimal latency
- Build low-latency serving systems for speech models, optimizing time-to-first-audio and end-to-end conversational responsiveness
- Develop the public and internal APIs that expose voice capabilities to Claude.ai, mobile clients, and third-party developers
- Own the audio transport layer—codecs, jitter buffers, adaptive bitrate, packet loss recovery—so conversations stay smooth across unreliable networks
- Build observability and quality-measurement systems for voice: latency distributions, audio quality metrics, interruption handling, and turn-taking accuracy
- Partner with Audio research to move new model architectures from experiment to production, and feed real-world performance data back into research
- Collaborate with mobile and product engineering on client-side audio capture, playback, and the end-to-end user experience
You may be a good fit if you
- Have 6+ years of experience building distributed systems, real-time infrastructure, or platform services at scale
- Have shipped production systems where latency is measured in tens of milliseconds and users notice when you miss
- Are comfortable working across the stack—from transport protocols and serving infrastructure up to the APIs product teams build on
- Are results-oriented, with a bias toward flexibility and impact
- Pick up slack, even if it goes outside your job description
- Enjoy pair programming (we love to pair!)
- Care about the societal impacts of voice AI and want to help shape how these systems are developed responsibly
- Are comfortable with ambiguity—voice is a fast-moving space, and you'll help define the architecture as we learn what works
Strong candidates may also have experience with
- Real-time media protocols and stacks: WebRTC, RTP, gRPC bidirectional streaming, or WebSockets at scale
- Audio engineering fundamentals: codecs (Opus, AAC), voice activity detection, echo cancellation, jitter buffering, or audio DSP
- Low-latency ML inference serving, streaming model outputs, or GPU-based serving infrastructure
- Telephony, live streaming, video conferencing, or voice assistant platforms
- Mobile audio pipelines on iOS (AVAudioEngine, AudioUnits) or Android (Oboe, AAudio)
- Working alongside ML researchers to productionize models—speech experience is a plus but not required
Representative projects
- Driving time-to-first-audio below human perceptual thresholds by co-designing the serving pipeline with the Audio research team
- Building a streaming inference orchestrator that interleaves speech recognition, LLM reasoning, and speech synthesis with overlapping execution
- Designing the voice mode API surface for the Anthropic API so developers can build their own voice agents on Claude
- Implementing graceful barge-in and interruption handling so users can cut Claude off mid-sentence naturally
- Instrumenting end-to-end audio quality metrics and building dashboards that catch regressions before users do
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
Ready to apply?
Apply to Anthropic
Senior AI Program Manager
Share this job
Role Purpose
LevelTen Energy’s mission is to accelerate the energy transition by facilitating frictionless transactions. As the leading provider of renewable transaction infrastructure, we deliver the cloud-based software, centralized supply, automated analytics, and transaction expertise required to power the renewable energy economy. The LevelTen Platform is the world’s largest online hub for renewable energy buyers, sellers, advisors, asset owners and financiers, and delivers the online tools and expertise they need to buy, sell and finance assets quickly.
Join us on a mission that matters.
Are you obsessed with the potential of Artificial Intelligence? Do you love helping others discover how technology can make their work lives easier, faster, and more creative?
LevelTen Energy is looking for a dynamic and highly organized AI Program Manager to serve as our internal AI evangelist. In this role, you will be the driving force behind integrating cutting-edge AI tools and strategies across all departments. You will not only champion the use of AI but also roll up your sleeves to train our teams, identify high-impact use cases, and partner closely with our IT and Information Security (InfoSec) teams to ensure safe, secure, and seamless tool rollouts.
Duties and Responsibilities
- Evangelize & Educate: Serve as the internal champion for AI adoption. Build excitement and buy-in across the organization by showcasing the value of AI tools through engaging presentations, demos, and internal communications.
- Design & Deliver Training: Develop comprehensive training programs, workshops, and resources tailored to different departments (e.g., Marketing, Sales, HR, Engineering) to ensure employees are confident and capable of using approved AI tools.
- Cross-Functional Collaboration: Partner with department heads to identify bottlenecks and workflows where AI can drive efficiency, cost savings, or innovation.
- IT & InfoSec Partnership: Work hand-in-hand with our IT and Information Security teams to evaluate, vet, and safely deploy new AI platforms. Ensure all AI initiatives strictly adhere to company data privacy, security standards, and compliance protocols.
- Program Management: Own the roadmap for internal AI adoption across a company of 100+ employees and multiple departments. Track deployment progress, measure usage metrics, and gather employee feedback to continuously improve our AI toolstack and strategy.
- Market Research: Stay constantly plugged into the rapidly evolving AI landscape. Identify emerging tools, trends, and best practices, and recommend new solutions that align with our business goals.
Qualifications
- 5+ years of experience in program management, change management, technical training, or a related field.
- AI Fluency & Passion: Deep, current knowledge of the generative AI landscape (e.g., Claude, Gemini, ChatGPT, Copilot) and a genuine enthusiasm for how these tools are transforming the modern workplace.
- Stellar Presentation Skills: A natural communicator who can translate complex technical concepts into accessible, engaging language for non-technical audiences.
- Exceptional Organization: Proven experience in program or project management. You know how to build a roadmap, manage timelines, and keep multiple stakeholders aligned.
- Security-Minded: Experience collaborating with IT or InfoSec teams. You understand the importance of data privacy, enterprise security, and the risks associated with shadow IT.
- Collaborative Empathy: High emotional intelligence with the ability to manage change. You understand that adopting new technology can be intimidating, and you approach training with patience and empathy.
Benefits / Perks
- Full Medical, Vision and Dental coverage
- Wellness Credit
- Flexible vacation policy
- 11 paid company holidays
- 401k
In the Seattle office:
- Casual dress code
- Commuter benefits
- Standing desk options
- Regular company-sponsored events
- Hybrid in-office/work from home schedule
Additional Information
- This position is based out of our office in the Belltown neighborhood of Seattle, WA (hybrid work schedule).
- The estimated compensation for this position is $150,000-200,000 per year, based on experience and qualifications. In addition, this position is eligible for an annual bonus and an equity grant.
- Must be legally authorized to work in the U.S. without a current or future need for visa sponsorship.
About LevelTen Energy
LevelTen Energy is the leading provider of transaction infrastructure for the clean energy transition, connecting buyers, sellers, and financiers through dynamic marketplaces, data-driven insights, and automated analytics. The LevelTen Platform supports power purchase agreements, clean energy asset M&A transactions, and tax credit transfers—soon expanding to granular certificate trading—enabling organizations to execute and manage transactions with confidence. With a network of over 1,000 project developers in 35 countries, LevelTen is advancing carbon-free energy markets by increasing transparency, liquidity, and accessibility. Learn more at LevelTenEnergy.com.
Equal Opportunity Employer
LevelTen Energy is an Equal Opportunity Employer committed to a diverse and inclusive workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, marital status, age, sexual orientation, gender identity or expression, or any other legally protected status.
Accessibility
If you are an individual with a disability and need assistance completing the online application or during the interview process, please call 1-800-995-2152. Please leave a message and a member of our People team will return your call within three business days. Alternatively, an email may be sent to hr@leveltenenergy.com. “Applicant Accommodation” should be included in the subject line of the email. Please note that this phone number and email are only for those individuals who would like to request an accommodation to apply for a job.
Ready to apply?
Apply to LevelTen Energy
Director, Global Controls and Financial Operations
Share this job
Where Trust Leads, Bold Ideas Grow, and Community Thrives
Paula’s Choice, a global skincare leader founded in 1995, empowers individuals to define beauty on their own terms through science-backed products. Our mission comes to life through four core values that guide our actions, decisions, and impact:
-
Build Trust: We set the standard for skincare, transparency, and shared knowledge.
-
Be Bold: We lead through innovation and by challenging the status quo.
-
Act with Kindness: We operate with respect and care—for our customers, colleagues, and the planet.
-
Create Community: We believe in the power of connection—whether educating customers, supporting each other, or giving back, we grow stronger together.
Our team spans North America, Australia/New Zealand, Europe, and the broader APAC region, collaborating globally to drive innovation. We offer space to thrive—personally, professionally, and through our comprehensive benefits package designed to support your well-being at every stage:
- Generous paid time off, including time off to volunteer
- Learning and development resources to support personal and professional growth
- Wellness benefits like meditation app memberships, product discounts, and free samples of our amazing products
- Most roles are fully remote (roles that are required to be at our Seattle HQ can be found in the details section of this job post)
- Great location – for roles that are hybrid or fully onsite, we’re in the heart of Seattle’s beautiful International District
- Did we mention we’re a dog-friendly office?
Our culture encourages continuous learning and is fueled by connection, curiosity, and cross-functional collaboration. Whether onsite, remote, or hybrid, we stay connected through shared initiatives that bring our teams together. If you’re inspired by transparency, driven to make an impact, and eager to help foster community—we’d love to have you join us.
How you’ll have an impact at Paula’s Choice:
Paula's Choice is seeking a Global Director of Controls and Financial Operations to lead the oversight, implementation, and continuous improvement of our financial control environment across the organization. This is a hands-on leadership role where you'll serve as the steward of our controls framework while remaining deeply engaged in execution. You'll balance compliance rigor with business partnership, ensuring our controls enable growth rather than constrain it—acting as a trusted partner to the business, not a policeman.
As Director of Global Controls and Financial Operations, a typical day might include a mix of the following:
- Oversee the global financial controls framework, ensuring alignment with Unilever's corporate governance standards and applicable regulatory requirements across all markets. This includes managing corporate audit processes, SOX compliance, and regular Big4 audits, while driving continuous improvement in control maturity across regions.
- Directly manage accounting operations and financial reporting functions for North America and Australia, with two direct reports: an Accounting Manager and a Financial Reporting and Controls Manager. Set the tone for hands-on problem solving and direct contribution.
- Assess and elevate control maturity across APAC and other regions where standards lag behind North America and Europe. Develop practical roadmaps to close gaps without creating unnecessary burden on local teams.
- Own day-to-day execution—building financial models, drafting control documentation, proposing process improvements, and driving adoption across the organization. This is not a supervisor-only role; you will be a doer.
- Champion AI adoption within the controls and accounting function, leading the transition of manual reconciliations and repetitive control activities to AI-driven processes. Partner with Finance AI initiatives to identify high-impact automation opportunities and set the pace for adoption across North America and Australia, serving as a model for other regions.
- Partner with business leaders to translate controls into business language, identifying and mitigating financial and operational risks without creating unnecessary friction.
- Ensure compliance with Unilever's broader corporate requirements while maintaining Paula's Choice's operational agility and speed.
The Details:
- Location: We are based in Seattle, WA. Local candidates are preferred for face-to-face collaboration.
- Hours: Typical PST business hours
- Physical requirements: Ability to handle long periods of both sitting & screen time
- Travel requirements: Less than 3%
What you’ll bring to the table:
- 8-12 years of progressive accounting and financial controls experience, ideally in a multi-region or multinational environment. Big Four audit or corporate controls background is a strong plus.
- Comfort with financial systems and tools—NetSuite, data platforms, and Excel modeling should feel natural. You don't need to be a technologist, but you should be able to own technical implementation.
- A balance of strategic thinking and practical execution. You design frameworks, but you also build the spreadsheets and write the proposals that make change happen.
- Understanding that controls serve the business. You can speak both the language of compliance and the language of commercial reality.
- Ability to work across cultures and regions, recognizing that control maturity varies and requires tailored, pragmatic approaches rather than one-size-fits-all mandates.
- Strong communication skills—you can explain complex control concepts to non-finance leaders and executives in ways that drive action and build trust.
- Genuine curiosity about AI and automation in finance. You don't need to be a technologist, but you should be excited about how AI can transform tedious control work into strategic oversight. Experience with or openness to AI-assisted tools is a strong plus.
- Comfort with ambiguity and a bias toward action. Paula's Choice is evolving; you'll help shape how we do that responsibly.
What can help you really stand out:
- Experience leading within a DTC-led premium brand
Approximate Salary Range Based on Experience and Location:
$170,000 - $190,000 USD/annually
#LI-NG1
Paula’s Choice Skincare determines the pay for positions using local, national, and industry-specific survey data. We evaluate external and internal equity and the cost of labor/prevailing wage index in the relative marketplace for jobs directly comparable to jobs within our company. Our posted salary range is based on national data and may be refined for a candidate's region/town/cost of living.
For new hires, we strive to make competitive offers allowing the new employee room for future growth. The exact base salary is determined by various factors including experience, skills, education, geographic location, and budget. This position is also eligible for participation in the company discretionary bonus plan.
Paula’s Choice Skincare is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender identity, religion, sex, age, national origin, disability, veteran status, sexual orientation, genetic information or any other classification protected by Federal, State or Local law. We are committed to create a workplace that is inclusive of all. Where everyone feels empowered to bring their full authentic self to work.
Please note:
At any time, with or without notice, Paula’s Choice reserves the right to add/delete/change the position’s requirements.
If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at careers@paulaschoice.com. This email is intended for individuals with disabilities in need of assistance and is not a means of inquiry about positions or application statuses.
We take your privacy seriously. For details please see our Privacy Notice.
Ready to apply?
Apply to Paula's Choice Skincare
Staff AI Product Designer, Gemini Assistant, GeminiApp
Share this job
Snapshot
The Gemini App Design team is instrumental in building the Gemini Universal Assistant, the conversational AI that people around the world use to collaborate with generative AI to fuel their imagination, expand their curiosity, and enhance their productivity. We're building innovative ways for people to get things done & enrich their lives. Our Design team is dedicated to developing the world's useful generative AI experiences.
About Us
At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users. We're a world-leading AI research company, pushing the boundaries of what's possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We're committed to developing AI responsibly and ethically, and we foster a collaborative and inclusive environment where brilliant minds come together to tackle some of the world's most challenging problems. Join us and be part of a team that's shaping the future of AI.
The Integrated Assistance team contributes towards this mission by making Gemini a personalized universal assistant that is natively present across devices and apps. We unlock useful generative AI experiences through deep OS and app integrations, including the quick access Android overlay, embedded app entry points, and novel screen context capabilities. As shepherds of the largest volume surfaces in Gemini, we aim to guide users to understand the value of generative AI, including unique capabilities outside of the full screen Gemini app. We are a global team with designers based in Europe and US, and engineering and product partners in those locations as well as India. We partner closely with other UX designers in the Gemini App team, including research and modelling.
Role
We are seeking a highly experienced, self-starting, and innovative Staff AI Product Designer to join our Gemini Integrated Assistance Team. As a key member of our team, you will work hand-in-hand with engineers, research scientists, and product managers to design and build intuitive solutions to help people around the world use Google’s best AI models to enrich their lives and realize their potential. You will play a crucial role in shaping the future of how people interact with AI. You will be involved in all aspects of the design process, from conceptualization and ideation to prototyping and implementation in a fast-moving and highly collaborative environment.
Responsibilities:
- Architect intuitive AI experiences: Lead the design of user interfaces and consumer experiences for Gemini across diverse platforms and modalities, ensuring natural and efficient interaction.
- Contribute to product strategy and manage stakeholders: Use strong communication skills to collaborate with Product, Engineering and influence relevant stakeholders (e.g. in Gemini App, Android, other Google Apps) to define product strategy and influence key cross-functional decisions that drive positive user outcomes.
- Innovate through user-centered design: Translate user needs, technical understanding and business requirements into groundbreaking design solutions that amplify people’s capabilities and enrich their lives.
- Design with systems-thinking approach: Apply a systems-thinking approach to design user interfaces, understanding the impact of individual components and features on the overall AI-powered experience, optimized for AI's probabilistic nature and multimodal capabilities.
- Craft visually compelling interfaces: Create high-fidelity visual designs, encompassing layouts, typography, color palettes, and iconography, that are aesthetically pleasing and highly usable.
- Motion and interaction design: Design engaging interactions and fluid interfaces, utilizing tools like Origami Studio, Principle, and Protopie, and create motion designs that enhance user experience and effectively communicate complex information.
- Bridge design and technology: Leverage technical understanding to use system instructions and diverse prototyping methods, simulating model responses to inform design requirements and approaches.
- Champion design innovation: Stay current on the latest design trends and technologies, in consumer technology, generative AI and natural language processing, and leverage this knowledge to innovate.
- Design for ethical and societal impact: Consider the intricate interplay of AI models, user interface, ethical considerations, and societal impacts to develop responsible solutions.
Minimum Qualifications
- Bachelor's degree in Design, Human-Computer Interaction, or a related field.
- 7+ years of experience designing user interfaces for complex software applications, with specific experience designing for conversational AI / LLMs
- A robust portfolio showcasing fluency in visual, motion, and interaction design skills, with specific examples of work specific to AI-powered interfaces and interactions and for leading consumer applications.
- Proficiency in designing user-centric experiences across diverse platforms (web, desktop, mobile), with a strong understanding of how to adapt AI interactions to different device contexts.
- Demonstrated expertise in designing intuitive and engaging interactions for AI-driven products
- Demonstrated expertise in guiding cross-functional teams through ideation, validation, and iteration processes, transforming abstract ideas into shippable product
- Familiarity with behavioral data and strong capability to create data-driven designs, while being equally capable of moving forward in the absence of data.
- Proficiency in design tools such as Figma, Sketch, Adobe Creative Suite, and Principle.
- Excellent communication and collaboration skills with the ability to listen, articulate positions, and challenge partners with new product design thinking
- Mastery in presentation and storytelling capabilities with the ability to communicate effectively to leadership and cross company teams
- A strong systems thinker with a passion for creating innovative and user-centered AI design solutions. Ability to understand the broader implications of AI technologies and design experiences that are ethical, accessible, and impactful.
- Demonstrated experience thriving in a startup environment, comfortable with the ambiguity, rapid iteration, and resourcefulness required to deliver impactful designs in a fast-paced, evolving landscape.
Preferred Qualifications
- Demonstrated ability to foster divergent design thinking and translate complex AI concepts into user-centered product visions.
- Proven experience in shepherding radical ideas that leverage AI to create truly transformative product experiences.
- Experience prototyping interactive experiences using tools like Figma, ProtoPie, or Framer.
- Experience vibe-coding with tools like Loveable, ReplitFigmaMake, AI Studio, Cursor or AntiGravity.
- Experience with front-end development technologies (HTML, CSS, JavaScript, React, Swift, Jetpack Compose) and coding tools (CLIs, IDEs).
- Demonstrable experience designing polished, highly performant mobile apps and experiences requiring OS integrations (Android, iOS).
- Experience driving product impact through close collaboration with user research, including expertise in user research methodologies for AI product evaluation.
The US base salary range for this full-time position is between $178,000 USD - $265,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline:
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Ready to apply?
Apply to DeepMindStaff AI Product Designer, Gemini Assistant
Share this job
Snapshot
The Gemini App Design team is instrumental in building the Gemini Universal Assistant, the conversational AI that people around the world use to collaborate with generative AI to fuel their imagination, expand their curiosity, and enhance their productivity. We're building innovative ways for people to get things done & enrich their lives. Our Design team is dedicated to developing the world's useful generative AI experiences.
About Us
At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users. We're a world-leading AI research company, pushing the boundaries of what's possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We're committed to developing AI responsibly and ethically, and we foster a collaborative and inclusive environment where brilliant minds come together to tackle some of the world's most challenging problems. Join us and be part of a team that's shaping the future of AI.
Role
We are seeking a highly experienced, self-starting, and innovative Senior AI Product Designer to join the Gemini App Team. As a key member of our team, you will work hand-in-hand with engineers, research scientists, and product managers to design and build intuitive solutions to help people around the world use Google’s best AI models to enrich their lives and realize their potential. You will play a crucial role in shaping the future of how people interact with AI. You will be involved in all aspects of the design process, from conceptualization and ideation to prototyping and implementation in a fast-moving and highly collaborative environment.
Responsibilities:
- Architect intuitive AI experiences: Lead the design of user interfaces and consumer experiences for Gemini across diverse platforms and modalities, ensuring natural and efficient interaction.
- Key contributor to product strategy: Collaborate with Product and Engineering to define product strategy and influence key cross-functional decisions that drive positive user outcomes.
- Innovate through user-centered design: Translate user needs, technical understanding and business requirements into groundbreaking design solutions that amplify people’s capabilities and enrich their lives.
- Design with systems-thinking approach: Apply a systems-thinking approach to design user interfaces, understanding the impact of individual components and features on the overall AI-powered experience, optimized for AI's probabilistic nature and multimodal capabilities.
- Craft visually compelling interfaces: Create high-fidelity visual designs, encompassing layouts, typography, color palettes, and iconography, that are aesthetically pleasing and highly usable.
- Motion and interaction design: Design engaging interactions and fluid interfaces, utilizing tools like Origami Studio, Principle, and Protopie, and create motion designs that enhance user experience and effectively communicate complex information.
- Bridge design and technology: Leverage technical understanding to use system instructions and diverse prototyping methods, simulating model responses to inform design requirements and approaches.
- Champion design innovation: Stay current on the latest design trends and technologies, in consumer technology, generative AI and natural language processing, and leverage this knowledge to innovate.
- Design for ethical and societal impact: Consider the intricate interplay of AI models, user interface, ethical considerations, and societal impacts to develop responsible solutions.
Minimum Qualifications
- Bachelor's degree in Design, Human-Computer Interaction, or a related field.
- 7+ years of experience designing user interfaces for complex software applications, with specific experience designing for conversational AI / LLMs
- A robust portfolio showcasing fluency in visual, motion, and interaction design skills, with specific examples of work specific to AI-powered interfaces and interactions and for leading consumer applications.
- Proficiency in designing user-centric experiences across diverse platforms (web, desktop, mobile), with a strong understanding of how to adapt AI interactions to different device contexts.
- Demonstrated expertise in designing intuitive and engaging interactions for AI-driven products
- Demonstrated expertise in guiding cross-functional teams through ideation, validation, and iteration processes, transforming abstract ideas into shippable product
- Familiarity with behavioral data and strong capability to create data-driven designs, while being equally capable of moving forward in the absence of data.
- Proficiency in design tools such as Figma, Sketch, Adobe Creative Suite, and Principle.
- Excellent communication and collaboration skills with the ability to listen, articulate positions, and challenge partners with new product design thinking
- Mastery in presentation and storytelling capabilities with the ability to communicate effectively to leadership and cross company teams
- A strong systems thinker with a passion for creating innovative and user-centered AI design solutions. Ability to understand the broader implications of AI technologies and design experiences that are ethical, accessible, and impactful.
- Demonstrated experience thriving in a startup environment, comfortable with the ambiguity, rapid iteration, and resourcefulness required to deliver impactful designs in a fast-paced, evolving landscape.
Preferred Qualifications
- Demonstrated ability to foster divergent design thinking and translate complex AI concepts into user-centered product visions.
- Proven experience in shepherding radical ideas that leverage AI to create truly transformative product experiences.
- Experience prototyping interactive experiences using tools like Figma, ProtoPie, or Framer.
- Experience with front-end development technologies (HTML, CSS, JavaScript).
- Experience driving product impact through close collaboration with user research, including expertise in user research methodologies for AI product evaluation.
- Experience mentoring more junior teammates, but note this is not a manager role
The US base salary range for this full-time position is between $178,000 USD - $265,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline:
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Ready to apply?
Apply to DeepMind
Senior Staff Data Scientist - Bayesian Experimentation & Causal Inference
Share this job
1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway’s mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that.
But we're going further. Over 70,000 providers across all 50 states run their practice on our software, serving over 1 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale. We aren't just a billing layer; we are becoming the platform where care actually happens.
We're a Series D company with $325M+ in funding (a16z, Accel, GV, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better.
Join us to build the truth engine behind better mental health outcomes.
As a Senior Staff Data Scientist, Bayesian Experimentation and Causal Inference, you will be the company-wide owner of how Headway learns from data, especially when the stakes are high and the signal is noisy. You will report directly to the Head of Data and serve as a core leader for standards, frameworks, and decision quality across Product, Growth, Ops, and Finance.
Your work will set the default methods for how we answer questions like:
- Did this actually cause the outcome we care about?
- How sure are we, and what should we do given that uncertainty?
- What evidence is strong enough to change strategy, policies, or spend?
A major objective of this role is to build and institutionalize a clear map of “what we know” about patients, providers, and payers, with explicit confidence levels that tie directly to business action. Think of it as a shared language that prevents the organization from treating a correlation like a law of physics, while still moving fast.
What you will do
- Own causal inference and experimentation standards across Headway. Define the canonical approaches, guardrails, documentation, and review mechanisms for experiments and quasi-experiments, including when and how to use Bayesian methods.
- Build the confidence ladder for company knowledge. Create a clear, shared framework that maps findings to levels of confidence (for example 1–10), where lower levels reflect correlation and early directional evidence, mid levels reflect increasingly credible causal inference, and the highest levels reflect stable, repeatable, decision-grade truths. Operationalize it so it shows up in artifacts teams actually use: PRDs, launch reviews, growth planning, quarterly business reviews, and postmortems.
- Design the learning strategy for our hardest questions. Lead the approach for ambiguous, high impact domains like provider activation and retention, payer economics and policies, patient conversion and engagement, and marketplace dynamics. Recommend the right combination of randomized experiments, stepped rollouts, geo tests, natural experiments, and observational designs.
- Raise the organization’s statistical maturity. Introduce and standardize Bayesian experimentation practices where it improves speed and decision quality (priors, posterior interpretation, sequential decision rules, credible intervals, expected value framing). Build training, playbooks, and reusable tooling.
- Be the escalation point for difficult measurement problems. Tackle issues like interference and spillovers, network effects, selection bias, noncompliance, measurement error, multiple comparisons, seasonality, and Simpson’s paradox showing up in real life and causing confusion.
- Partner with Data Platform and Engineering to make rigor scalable. Ensure experimentation and inference are supported by instrumentation, logging, metric definitions, semantic layers, and monitoring. Help define the minimal foundations required for trustworthy learning.
- Build a culture of clear claims. Establish norms for separating facts, estimates, assumptions, and uncertainties. Make it easy for teams to say “we do not know yet” without losing momentum, and easy for leaders to understand what is safe to act on.
- Mentor and set the bar. Coach other data scientists and analytics leaders. Create review standards for causal work, support hiring for methodological depth, and represent Headway’s measurement philosophy internally and externally when appropriate.
What will make you successful
- 12+ years of experience applying causal inference, experimentation, and advanced statistics to real-world product, growth, or operational decisions (or equivalent depth demonstrated through scope and outcomes).
- Deep expertise in causal inference across randomized and observational settings, including practical strategy for when clean experiments are not possible.
- Deep expertise in Bayesian methods for experimentation and decision-making, and strong judgment about when Bayesian approaches outperform frequentist defaults and when they do not.
- Strong SQL and strong proficiency in Python or R, including building reusable analysis tools and improving team workflows.
- Track record of setting org-wide standards that materially improved decision quality and execution velocity.
- Executive-level communication and influence: you can drive alignment across Product, Growth, Ops, Finance, and Engineering.
- Comfort operating in ambiguity, and the ability to turn it into crisp frameworks, clear recommendations, and measurable outcomes.
- Motivation for our mission: improving access and affordability in mental healthcare.
Nice to have
- Experience in marketplaces, healthcare, insurance, or other regulated and complex incentive systems.
- Experience with experimentation under interference and network effects.
- Experience building experimentation platforms, analysis libraries, or statistical tooling used broadly across an organization.
- Familiarity with causal graphs, uplift modeling, and decision theory framing (expected value, value of information).
Compensation and Benefits:
The expected base pay range for this position is $249,600 - $312,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.
We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.
- Benefits offered include:
- Equity compensation
- Medical, Dental, and Vision coverage
- HSA / FSA
- 401K
- Work-from-Home Stipend
- Therapy Reimbursement
- 16-week parental leave for eligible employees
- Carrot Fertility annual reimbursement and membership
- 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
- Flexible PTO
- Employee Assistance Program (EAP)
- Training and professional development
#LI-MG1
We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview.
Headway participates in E-Verify. To learn more, click here.
A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers. Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.
Ready to apply?
Apply to Headway