What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Define and lead product strategy: Develop the product vision, strategy, and roadmap for energy, charging, and connected services. You will drive product development from zero-to-one, bringing to life a world-class product experience and ensuring alignment with overarching business goals. You will own the full development stack, from ideation through development, translating business needs into actionable work items. Given Scout's nascency, you should be extremely comfortable navigating ambiguity in early-stage startups to formulate concrete, actionable plans.
• Build for humans: Act as a customer advocate, crafting experiences that enhance the vehicle ownership experience and differentiate Scout in the marketplace. Be disagreeable and don't accept anything less than a class-defining experience for customers. Be ridiculously collaborative: Partner with cross-functional teams, including our Charging team, vehicle user experience (VUX) team, R&D, software engineering, and third party service providers, to design and deliver innovative digital products that help customers manage their vehicle, charge, and pay for services. Be ready to drive alignment with many competing stakeholders.
• Manage (a lot of) relationships: Act as a trusted advisor to internal and external partners, presenting solutions that align with broader business goals. Be a natural relationship builder and clear communicator.
• Operationalize products: Oversee the roll-out of technical solutions to the marketplace, ensuring performance, reliability and consumer adoption achieve agreed upon outcomes.
• Drive technical excellence: Build relationships with software engineering to ensure scalable, efficient, and secure delivery. Leverage expertise in system architecture, APIs, and data integration to support technical decisions.
• Measure success: Define KPIs and success metrics to track product and platform performance, using data to refine and improve over time

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Fremont, California. 
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

Experience

• 8+ years of product management experience, with a strong emphasis on consumer facing digital products.
• Demonstrated success in building and launching complex digital experiences enjoyed by millions —or billions — of people around the world.
• Zero-to-one experience, especially as it relates to consumer mobile products
• A clear sense of what good software looks like.
• Automotive and/or IoT experience is a plus, but not required

Technical Expertise

• Strong understanding of system architecture, APIs, and cloud technologies.
• Strong understanding of native app development (iOS and Android), with demonstrated, real-world experience shipping products to consumers
• Conversant in the language of software, including pros/cons of native vs. cross-platform development

Skills

• Exceptional communication and collaboration skills to influence and align diverse stakeholders.
• Data-driven decision-making abilities and experience with tools for analytics and performance measurement.

Education

• Bachelor's degree in computer science, engineering, or a related field, though demonstrated experience in building real-world product development is far more critical.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial Base Salary Range: $140,000.00 - $170,000.00

Initial California Base Salary Range: $154,000 - $187,000

Internal Leveling Code: IC8

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com. 

About the Role  

We’re looking for a Senior Software Engineer on our Sports AI team to help build the next generation of real-time AI systems powering sports analysis and insights. 

These systems transform live sports broadcasts (incorporating signals from video, crowd noise, audio commentary, and text) into a structured understanding of game context and auto-generated insights. The outputs from these systems power a range of products including automated highlight clipping, augmented broadcasts, semi-automatic play-by-play collection, and natural-language insight generation. For example, these systems can detect a goal, attribute it to the correct player, and localize where it occurred on the pitch within seconds by combining crowd noise spikes, commentary signals, and video cues. 

This role sits at the intersection of streaming and distributed systems, AI, and product engineering. You’ll build and operate real-time pipelines that process noisy, asynchronous inputs under tight latency constraints. These systems combine traditional streaming and data processing techniques with modern multimodal AI models to produce reliable outputs in production. 

You’ll work on challenges like aligning signals across multiple sources, handling uncertainty and inconsistency in model outputs, and designing systems that degrade gracefully in real-world conditions. We are early in building these capabilities, so the role involves working through ambiguity, experimenting with different approaches, and building new systems from first principles where established patterns don’t yet exist. 

Key Responsibilities 

• Design, build, and operate real-time streaming systems that convert live sports broadcasts into structured events, attributes, and insights
• Ingest and synchronize signals from video, audio, commentary, and data feeds under real-world latency and reliability constraints
• Integrate modern AI models into production systems, including multi-step pipelines where model outputs are composed, validated, and refined
• Design and implement evaluation and observability frameworks to measure system quality, including offline benchmarks, real-time metrics, and regression testing
• Develop mechanisms for identifying and handling uncertainty in model outputs, such as confidence scoring, validation checks, and human-in-the-loop workflows where appropriate
• Own systems end-to-end from early prototypes through production, making key architectural decisions around scalability, reliability, and performance
• Collaborate closely with product and data partners to shape, prioritize, and ship high-impact systems
• Mentor engineers and help establish best practices for building and operating applied AI systems in production 

  
Qualifications   

• 5+ years of experience building production-grade software systems 
• Strong software engineering fundamentals including system design, testing, observability, and performance 
• Experience building streaming, data-intensive, and/or distributed systems with real-time constraints
• Proven ability to design scalable systems that are robust under real-world conditions, including handling partial failures, inconsistent data, and latency tradeoffs
• Ability to evaluate system quality beyond traditional metrics (e.g., ambiguous or probabilistic outputs)
• Product-minded: able to translate ambiguous problems into practical, high-impact solutions
• Strong, demonstrated interest in building AI-powered features or systems; keep up with latest generative AI progress and capabilities
• Comfortable working in fast-moving, iterative environments with evolving requirements 

  
Preferred Qualifications   

• Hands-on experience integrating LLMs and other ML/AI systems in production workflows via platforms like Vertex AI or AWS Bedrock
• Experience building or maintaining human-in-the-loop workflows
• Familiarity with streaming systems and tooling (e.g., Pulsar, Kafka, Flink, etc.)
• Experience working with audio/video streaming and processing systems, including familiarity with media delivery protocols (e.g., HLS, DASH, RTP), container formats, codecs, and tooling such as FFmpeg or GStreamer
• Background or strong interest in sports
• Experience with Rust 

The salary for this role is based on an annualized range of $160,000 - $230,000 USD. This role will also be eligible to take part in Genius Sports Group's benefits plan.

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change 

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

As a Senior Technical Delivery Manager (TDM), you’ll guide client engagements from ideation to deployment for some of the world’s largest enterprises. You’ll be responsible for understanding client needs through data, conversations, and any other means necessary. You’ll work closely with Engineering, Design, and Sales.  You’ll face problems that require a mix of technical knowledge, creativity, critical thinking, and business acumen.

To strengthen our growing delivery team, we are looking for an experienced TDM who is passionate about transforming technology into critical business value. The TDM will partner with and work closely with engineering teams and the client to orchestrate the delivery of our flagship solution. This role will consider applicants from either the Washington DC Metro Area or San Francisco Bay area.

Role Responsibilities - How You Will Make An Impact:

• Orchestrate: Work with clients, the business, and engineers to set strategy and collect and prioritize requirements.  Manage requirements documentation, milestone mapping, prioritization, and communication to facilitate project collaboration.
• Execute: Work with data scientists, machine learning engineers, software engineers, and designers to build products that delight our customers. Proactively identify assumptions, dependencies, issues, risks and drive discussions across the team to develop mitigation plans and implementation paths. Maintain compliance with IT and security policies and procedures.
• Strategize: Think widely about potential applications of machine learning and natural language processing techniques, translating capabilities built for individual clients into new features or customization options for our core products.

Relevant Skills and Experience:

• 5+ years of experience in a professional environment, ideally within a SaaS-based company
• Proven success managing large-scale enterprise data integration projects that are highly technical and cross-functional in nature
• Skilled in gathering and prioritizing requirements, leading scope discussions, and aligning on project priorities
  Comfortable working across internal functions (Engineering, Product, Security, Compliance, Customer Experience, etc.) and with external client stakeholders
• Strong technical understanding with the ability to contribute to system design conversations and drive enterprise data and architecture initiatives
• Experience working with DoD or public sector clients and understanding of relevant processes (e.g., FedStart, ATO)
• Must hold an active Top Secret (TS) security clearance; TS/SCI strongly preferred

Bonus Points:

• Familiarity with machine learning workflows and core data science concepts (e.g., classification vs. regression, feature engineering, model selection and tuning, deployment considerations)
• Understanding of ML algorithms, database structures, or data pipeline development
• Background in coding or working closely with engineering teams

The annual cash compensation range for this position is US$180,000 to US $220,000.  Final compensation will be determined based on experience and skills and may vary from the range.

 Who We Are

2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, 31st Union, HB Studios, and 2K SportsLab. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K’s portfolio currently includes several AAA, sports and entertainment brands, including global powerhouse NBA®️ 2K,  renowned BioShock®️, Borderlands®️, Mafia, Sid Meier’s Civilization®️ and XCOM®️ brands; popular WWE®️ 2K and WWE®️ SuperCard franchises, TopSpin 2K25, as well as the critically and commercially acclaimed PGA TOUR®️ 2K.

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We encourage ALL applicants to explore our global positions, even if they don’t meet every requirement for the role.  If you're interested in the job and think you have what it takes to work at 2K, we encourage you to apply!

 What You Will Do

 2K Games is building a world-class data ecosystem to power real-time analytics, machine learning, and game intelligence across all our franchises. We are looking for a Senior Product Manager, Data Science to drive the vision, strategy, and execution of our data science strategies and products, partnering with game studios and analytics teams to enable enhanced player experiences.

This role requires a blend of strategic development, product management expertise, and technical understanding of data science and machine learning (ML) methodologies. The ideal candidate will seamlessly integrate data-driven strategies with player-centric goals, ensuring AI and analytics improve game design, live operations, and business intelligence.

Strategic Vision & Product Leadership

• Develop and implement the product strategy for 2K’s central data science platform, partnering with Data Scientists across our gaming business units to drive predictive analytics, player personalization, and real-time decision-making;
• Collaborate with the Director of Product, 2K Data to align the data engineering roadmap with customer objectives and player-centric outcomes;
• Define and prioritize a high-impact data science roadmap to lead a team of central data scientists in driving a variety of use cases such as player retention modeling, dynamic content generation, and real-time fraud detection. 

Data Science Platform Development

• Lead the development of reusable and extensible machine learning models, feature engineering pipelines, and ML-driven insights using tools like Databricks, MLflow, and SageMaker;
• Ensure data science initiatives integrate seamlessly with the real-time data infrastructure, supporting streaming analytics, AI-powered LiveOps, and dynamic matchmaking systems;
• Establish and maintain self-service tools that enable game teams to experiment with and deploy AI models independently;
• Support the build and enhancement of the central ML feature store;
• Monitor and optimize model performance in production environments, using MLOps standard methodologies;
• Implement governance frameworks to ensure AI models adhere responsibly to data privacy, security, and compliance standards (e.g., CCPA, GDPR). 

Cross-Functional Collaboration

• Work closely with data scientists across game studios and business units to understand their data science needs and to provide data-driven solutions at the pace they need them;
• Act as a strategic liaison between data scientists and product teams, ensuring model outputs are actionable, reliable, and aligned with business goals;
• Promote a culture of experimentation and rapid iteration, supporting game studios with A/B testing frameworks, predictive analytics, and personalization engines.
• Find opportunities to enhance game design and player engagement through advanced analytics and machine learning.

 What You Need

• 7+ years of experience in product management with a focus on data science, analytics, or ML-driven products
• 5+ years of experience in gaming, technology, or entertainment industries;
• Strong understanding of data science methodologies, such as predictive modeling, natural language processing, and computer vision;
• Experience with data science tools and platforms, such as Python, SQL, Databricks,TensorFlow, and R;
• Customer-focused mentality with focus on the Why and What without getting lost in the What and the How;
• Consistent track record of delivering data science products and features from ideation to production, with measurable business impact;
• Ability to translate complex data insights into clear product strategies and business opportunities;
• Knowledge of real-time analytics platforms, streaming data processing, and feature store management;
• Familiarity with data governance frameworks, model risk management, and MLOps standard processes preferred;
• Advanced degree or equivalent experience in Data Science, Machine Learning, Computer Science, or a related field preferred.

The pay range for this position in California at the start of employment is expected to be between $109,800 and $162,480 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses.

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.

Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts. 

#LI-Onsite

Role

We are looking for a Senior Product Manager, AI / Data Classification to join our Data Protection team. This is a hybrid role based in San Jose, CA (3 days onsite). While local candidates are preferred, we are open to remote candidates based on the West Coast for exceptional applicants. 

We’re looking for a Product Manager to lead data classification capabilities within a Data Security platform. You’ll own the end-to-end product strategy for discovering and classifying sensitive data across cloud, on-prem data stores and SaaS applications, turning classification outcomes into actionable risk reduction for security, privacy, and compliance teams.

What You’ll Do (Role Expectations)

• Partner closely with a focused engineering, data science/ML, design, sales, and customer success to deliver accurate, scalable classification, clear policy outcomes, and measurable customer value
• Own the classification taxonomy, labeling standards, and policy model (custom categories, confidence thresholds, inheritance, overrides, exceptions)
• Drive accuracy improvements by managing precision/recall targets, sampling strategies, tuning workflows, and customer feedback loops
• Set requirements for scanning at enterprise scale (billions of objects, large tables), optimizing cost, latency, and coverage
• Define how the platform combines pattern-based detectors, NLP/ML, and LLM-assisted classification for structured and unstructured data

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• Product Management experience, with meaningful ownership of data security/privacy products. Product management experience can be substituted with data science experience
• Demonstrated experience shipping products that use AI/ML and/or LLMs in production, with a strong understanding of data classification approaches across structured and unstructured data
• Expertise in evaluation and quality measurement for classification systems and building/maintaining golden datasets
• Ability to design human-in-the-loop workflows for high-stakes labels, covering review/approval, exception handling, and audit trails
• Experience driving cost/performance tradeoffs for AI at scale, including token/compute budgeting, model selection, and managing latency for large corporations

What Will Make You Stand Out (Preferred Qualifications)

• Strong technical collaboration skills with ML engineering and data science
• Familiarity with embedding-based similarity and semantic retrieval for classification and deduping (vector DBs, ANN indexing, chunking strategies)
• Prior work in DSPM/DLP/CASB/insider risk where false negatives have high blast radius and you have designed processes to manage that risk

#LI-KM9 #LI-hybrid

Staff GenAI Research Scientist - Retrieval

P-1214

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.

Job Description 

As a Staff Research Scientist on the Enterprise Agents team, you will be responsible for keeping up with the latest developments in Agent Context, Information Retrieval, Knowledge Assistants, RAG, Embeddings, and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

The Impact you will have

As a Staff Research Scientist on the AI Research Team at Databricks, You Will: 

• Define and lead independent research agendas on Information Retrieval for reusable Agent components, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches.
• Drive research and technical strategy across enterprise retrieval and search, including workspace search, vector search.
• Drive algorithmic innovations for Retrieval within Large Language Models. 
• Experience with Agent Benchmarks for retrieval, text-embeddings and LLM Data Quality. 

What We Look for

• 5+ years of 
• PhD in Computer Science or related field with strong foundations in Natural Language Processing and Information Retrieval 
• Developing and implementing methods that extend and improve model capabilities, reliability, and safety. 
• Strong preference for candidates with first-author publications at top ML/systems conferences (EMNLP, ICLR, ACL, NeurIPs) focused on optimization or efficiency.

The Impact You’ll Be Contributing to Moloco:

• We're seeking a software engineer to help us design, develop and maintain the backend of our state of the art Moloco Commerce Media (MCM) product
• You will be responsible for developing an ML-based online advertising platform for the rapidly growing retail media industry
• You will play a pivotal role building and developing our enterprise-ready solution. We’ve determined clear market fit and are now seeking senior and staff engineers to refine the MCM product
• You will lead feature development, design, optimization, testing, and maintenance of software applications and solutions for internal and external end users
• You will mentor others on the team and have the opportunity to lead high-impact projects

The Opportunity:

• Design and ship agentic software that helps advertisers manage campaigns through natural language interfaces and intelligent automation
• Build customer-facing applications that combine LLM capabilities with robust backend systems—from conversational campaign creation to AI-assisted performance insights
• Own the full stack: React/TypeScript frontends, Go/Python/Java services, and the infrastructure that connects them
• Collaborate closely with PM, data science, and partner teams to shape product direction and turn ambiguous goals into shipped features
• Operate what you build: dashboards, alerts, runbooks, and a sustainable on-call rotation
• Mentor engineers through code reviews, pairing, and design discussions
• Prototype and explore what's next—advanced analytics, creative-level reporting, and AI capabilities we haven't imagined yet

How Do I Know if the Role is Right For Me?

• 5+ years of software engineering experience
• Full-stack development experience—you're comfortable across the frontend, backend, and the glue in between
• Hands-on experience building LLM-based applications (agents, tool use, prompt engineering, or similar)
• System design and development skills; from gathering requirements to design to implementation to production
• Experience in Cloud/Big Data platforms (e.g., AWS, GCE, GCP, Beam, Spark, BigTable, BigQuery etc.)
• Programming fundamentals, testing, and common algorithms and structures
• Track record of shipping customer-facing products
• Growth mindset—you stay current on emerging technologies and enjoy sharing knowledge with others
• Excellent communication and collaboration skills

OVERVIEW

We are seeking a Senior Director to lead Data Analytics (Digital), Data Science, and Artificial Intelligence, as a unified strategic capability. This role sits at the intersection of business insight, advanced analytics, and applied AI. You will shape how data and intelligence drive decisions, experiences, and operational excellence across the company—especially in marketing and digital and customer engagement. 

This leader is both a strategist and a builder: setting vision, developing talent, and ensuring measurable impact, while staying close enough to the work to guide technical direction and architectural choices. 

RESPONSIBILITIES  

• Set the vision and roadmap for Data Science, AI, and Digital Analytics, aligned to business priorities and growth strategy. 

• Lead and scale high-performing teams across data science, applied AI/ML, experimentation, and digital analytics. 

• Drive advanced analytics and AI use cases including personalization, forecasting, optimization, experimentation, generative AI, and decision intelligence. 

• Own digital analytics strategy—ensuring accurate, trusted measurement across web, mobile, and emerging digital experiences, and translating signals into action. 

• Bridge insight to execution by partnering closely with product, marketing, engineering, operations, and executive leadership. 

• Evaluate and govern AI platforms and tooling, balancing build vs. buy decisions, cost, scalability, and long-term flexibility. 

• Establish responsible AI and data practices, including model governance, experimentation standards, and measurement of business impact. 

• Tell compelling data stories—turning complex analyses and models into clear narratives that drive confident decisions at the executive level. 

QUALIFICATIONS

• A seasoned leader with deep experience in data science and applied AI, and a strong grasp of modern analytics ecosystems. 

• Comfortable operating at multiple altitudes—from board-level strategy to hands-on technical guidance. 

• Experienced in product and digital analytics, experimentation frameworks, attribution, and customer behavior analysis. 

• Fluent in ML concepts and architectures (predictive models, NLP, recommendation systems, generative AI) and how they create real business value. 

• Adept at building teams, culture, and operating models that scale across functions and geographies. 

• Pragmatic, impact-driven, and allergic to vanity metrics.  

• 12+ years in analytics, data science, or AI, with significant leadership experience. 

• Strong foundation in statistics, machine learning, and experimentation. 

• Experience in retail, e-commerce, consumer products, or digital platforms. 

• Experience with cloud data and AI platforms (AWS, GCP, Azure) and modern analytics stacks. 
• Proven track record of driving measurable outcomes through data and AI initiatives. 
• Exposure to generative AI at scale and AI-enabled product development. 

• Prior ownership of company-wide analytics standards or AI governance. 

The base salary range for this position is $250,000-$320,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

OVERVIEW

Join ALO’s Artificial Intelligence and Data Science team to explore the frontiers of applied AI in wellness, fashion, and retail. You’ll build intelligent systems that power personalization, content generation, computer vision, and decision automation.

We’re looking for a hands-on AI Engineer who loves to build. You’ll design and deploy bespoke, high-impact AI solutions that stretch across product design, marketing, supply chain, customer experience, and engineering. Some projects will be fast-turnaround proofs of concept; others will grow into scalable internal platforms. You’ll balance the art of creative experimentation with the discipline of technical rigor—knowing when to build from scratch and when to leverage what already exists.

RESPONSIBILITIES

• Build bespoke AI solutions to accelerate business outcomes—anything from product image generation to conversational assistants or process automation.

• Prototype rapidly using APIs, open models, and cloud-native services to validate ideas and demonstrate value.

• Design for scale—transition ad hoc experiments into maintainable, production-grade systems or reusable components.

• Evaluate external AI platforms and tools for integration potential, cost, and business fit.

• Collaborate cross-functionally with marketing, design, supply chain, retail operations, and engineering teams to translate real problems into AI-enabled solutions.

• Implement responsible AI practices that ensure transparency, fairness, and explainability across applications.

• Mentor and coach peers in practical AI adoption and experimentation.

QUALIFICATIONS

• 10+ years of experience in a data or software engineering field.

• MS or PhD in Artificial Intelligence, Machine Learning, or Data Science.

• Equal parts builder, hacker, and architect—you can ship a working demo in a day but think in systems that can scale for years.

• Comfortable working without a map—you thrive in ambiguity and see constraints as creative opportunities.

• Skilled in Python, SQL, and cloud AI platforms (AWS, GCP, Azure) and fluent in modern AI frameworks (LangChain, Hugging Face, OpenAI, etc.).

• Strong grasp of ML fundamentals (classification, NLP, computer vision, embeddings) and practical data engineering.

• Experience in integrating AI into business workflows—e.g., automating content generation, demand forecasting, or intelligent search.

• Naturally curious about the intersection of human creativity and artificial intelligence, and driven by impact, not novelty.

• Experience in implementing / developing model evaluation frameworks.

Why ALO 

Join a team shaping the intersection of wellness, fashion, and technology. At ALO, data isn’t just numbers—it’s the heartbeat behind immersive experiences, purposeful products, and global community connection.

The base salary range for this position is $180,000-$235,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

The Technology, Data, and Intelligence Team 

Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work.

The Staff Data Scientist Opportunity

We are looking for a Staff Product Data Scientist to join our Data & Insights team. This role will lead the strategy, development, and operationalization of advanced analytics and machine learning solutions that power data intelligence for Okta’s Product Management teams, uncovering actionable insights on customer behavior, product engagement, and opportunities that will drive our product growth strategy. You’ll define the long-term data science roadmap while partnering closely with Okta’s diverse Product Management teams and executive leadership.

What you’ll be doing 

• Strategic Product Influence: Collaborate closely with Product Managers and leadership to provide insights that will help drive product strategy and roadmaps, ensuring decisions are grounded in a data-driven approach.
• Advanced Analytics and Modeling: Build and deploy statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to forecast user behavior and product growth opportunities in order to help influence roadmap decisions.
• Deep-Dive Insight Generation: Conduct thorough exploratory analysis on extensive, complex datasets to uncover key drivers of user adoption and engagement, identifying unseen opportunities for significant product improvement.
• Data Ecosystem Partnership: Work with data engineering, analytics engineering, and data analysts to shape and enhance the foundational data infrastructure necessary for scalable ML and advanced analytics initiatives.
• Data Preparation and Curation: Develop and construct usable data sets by integrating and manipulating information from various disparate data sources as needed.
• Executive Communication and Influence: Translate intricate data insights into clear, compelling narratives for executives, product managers, and engineers, effectively influencing crucial business and product decisions.

What you’ll bring to the role

• 7+ years of experience in data science or ML, including 3–5 years in a senior, staff, or technical leadership role.
• Deep understanding of product analytics and data science frameworks, with a proven history of designing and analyzing product data to solve complex, ambiguous business problems and deliver measurable results.
• Demonstrated ability to apply cutting-edge AI tools to accelerate the discovery of deep, actionable insights from complex product data.
• Demonstrated ability to translate data insights into product impact and formulate strategic, data-driven recommendations.
• Deep expertise in machine learning algorithms (supervised, unsupervised, NLP, forecasting, optimization) and statistical modeling.
• Strong proficiency in Python, SQL, and leading ML libraries.
• Excellent communication skills and a proven ability to influence Product and executive partners.

And extra credit if you have experience in any of the following! 

• Experience in high-growth SaaS, cybersecurity, identity, or enterprise software environments.
• Prior ownership of ML platform/tooling decisions and evaluations.
• Experience enabling self-service analytics or citizen data science capabilities.

#LI-MC1

#LI-Hybrid

#P23809_3392886

About the team/role

We’re hiring an ML Engineer (P2) to build and ship the AI systems that power Checkr’s core products. This role sits on the ML team inside Checkr’s Data & ML organization within Engineering.

Checkr runs millions of background checks a year. The ML team builds the systems that make those checks faster, more accurate, and cheaper to operate: document processing, charge classification, entity resolution, and in-product intelligence. These are production services that Product Engineering depends on daily.

This is not a research role or a notebook role. You’ll own ML services end-to-end: design them, code them, deploy them, monitor them. We need someone who writes production software, builds with LLMs and APIs as first-class tools, and can tell the difference between working code and AI slop. If you’ve spent the last few years building AI-native software and you care deeply about engineering craft, we want to talk.

This role sits in the central Data & ML team within the Engineering organization. You will partner daily with Product Engineering, Product, and cross-functional teams. You’ll also contribute to Checkr’s broader AI strategy, including our initiative to deploy our agentic fleet and build scalable context with our semantic layer.

We are looking for someone based in San Francisco who has built ML systems in fast-moving, impact-first environments. Less process, more shipping. Less paperwork, more results.

What you’ll do

• Build and deploy ML/AI services. Design, develop, and ship ML models and AI systems that Product Engineering teams rely on. You write the model code, the API layer, the monitoring, and the tests. Not notebooks; production services.
• Design with LLMs and APIs. Use LLM APIs (OpenAI, Anthropic, etc.) as building blocks in production systems. You know when to call an LLM, when to fine-tune, when to use a classical model, and when to write a rule. You think about cost, latency, and quality together.
• Ship production software. Write clean, well-structured code with solid OOP, proper abstractions, error handling, and tests. Your code gets reviewed by SWEs and passes. CI/CD is how you work, not something you bolt on at the end.
• Partner with product and engineering. Translate business problems into ML solutions. Define API contracts with product engineers. Explain your approach clearly to non-ML partners and leave the room with alignment, not confusion.
• Evaluate and iterate fast. Build evaluation frameworks, run experiments, and make data-driven decisions about model and system performance. Ship and iterate; don’t wait for perfect.
• Ship AI-powered workflows. Put AI to work on your own processes: automate pipelines, build agentic workflows, and contribute reusable skills and context to Checkr’s agentic platform. The expectation is that our teams operate AI-first.

What you bring

• A Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field, or equivalent depth from experience
• 4+ years building software professionally, with at least 2 of those building ML systems that run in production
• Strong Python fluency; you write clean, testable, well-structured code with solid OOP instincts. Not scripts; software
• Hands-on experience using LLM APIs in production systems: prompt engineering, structured outputs, function calling, cost management, and evaluation
• You’ve built and maintained APIs, worked with CI/CD pipelines, and shipped code that other engineers depend on
• Comfortable with distributed systems concepts: queues, async processing, caching, horizontal scaling
• Experience with NLP tasks in production: classification, extraction, entity resolution, summarization
• Comfort with and enthusiasm for AI-assisted workflows; experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal
• You can evaluate tradeoffs: fine-tune vs. prompt, hosted vs. self-deployed, classical ML vs. LLM, rule vs. model
• Strong communication skills; you explain technical decisions clearly to engineers and non-engineers alike, without hiding behind jargon
• You use AI tools (Copilot, Claude, etc.) to move faster, but you understand every line they produce. You can spot AI slop and you don’t ship it
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.

Nice to have

• Experience with MLOps platforms (MLflow, SageMaker, Vertex, or similar)
• Background in document processing, OCR, or information extraction
• Experience with PySpark or large-scale data processing
• Ruby experience (Checkr’s platform runs on Rails)
• Familiarity with compliance-sensitive domains (fintech, legal tech, HR tech)
• Working knowledge of dbt, Snowflake, or modern ELT/data transformation tools

What you’ll get

• A fast-paced, low-bureaucracy environment where shipping matters more than process
• Direct exposure to executive and C-level decision-making
• A seat on the Data & ML team shaping Checkr’s AI strategy
• Learning and development allowance
• Competitive cash and equity compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

Why You'll Love This Role

You will work closely with the founding team and a group of highly-skilled engineers to shape the future of AI-enabled Security/Observability platforms. You will play a central role in bringing integrating cutting-edge AI/ML technologies to the Cribl Product suite to help solve real customer problems.  You will work closely with development partners and key stakeholders to iteratively design, develop, and deliver products and surfaces that will delight our customers.

On top of it all you will have fun. Cribl strives to be a great place to work for everyone.

As An Active Member Of Our Team, You Will...

• Design, train, and evaluate machine learning models across a range of research and applied AI initiatives
• Run rapid, iterative experiments to test hypotheses and surface insights that drive model improvements
• Collaborate closely with researchers and engineers to translate cutting-edge academic advances into practical, production-ready systems
• Build and maintain robust ML pipelines for data ingestion, feature engineering, model training, and evaluation
• Optimize model performance through fine-tuning, hyperparameter search, and architecture experimentation
• Contribute to a culture of rigorous experimentation; tracking results, documenting findings, and sharing learnings with the broader team
• Stay current with the latest developments in ML and AI research, and proactively identify opportunities to apply them
• This position may require stand-by, on-call, or off-hours duties during critical research or deployment milestones

If You've Got It - We Want It

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field with 5+ years of industry or research experience (Master's or PhD a plus)
• Deep hands-on experience training and evaluating ML models, including language models
• Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow
• Familiarity with MLOps tooling and infrastructure (e.g., MLflow, Weights & Biases, Kubeflow, or similar)
• Solid understanding of modern NLP, computer vision, and/or reinforcement learning techniques
• Strong ability to move fast without sacrificing rigor; you know when to prototype and when to productionize
• Excellent communication skills with the ability to clearly present experimental results to both technical and non-technical stakeholders

Salary Range ($230,000 - $275,000)

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.

#LI-JB1
#LI-Remote

We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders.

This role is hybrid, based out of Santa Clara, CA.  

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.”
• You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life.
• You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon.
• Work directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions.
• Partner closely with sales operations and product teams to provide feedback from customers and help shape future product enhancements.

What We Need

• Strong customer-facing skills with 5+ years of relevant technical, enterprise experience (such as Sales Engineer, Solutions Engineer, or Technical Account Manager).
• Your field insight will help shape our roadmap, our features, and the way we show up for developers.
• Proven expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing (NLP),computer vision, PyTorch or TensorFlow.
• Experience with embedded systems, FPGA Architecture or AI accelerators. Familiarity with hardware/software co-optimization is often critical for efficient inference at the edge.
• Good understanding of data center, server architecture and deployment, thermal/power, and infrastructure management.

What You Will Learn

• How to explore and push the boundaries of AI performance on custom silicon and help developers do the same.
• What it’s like to build the future from scratch, working alongside teams creating hardware, software, and everything in between.
• To master the craft of fine-tuning LLMs, optimizing vision models, and building AI pipelines that run at scale.
• An understanding of why field roles drive real impact turning on-the-ground insight into product breakthroughs and platform momentum.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Help toddlers discover who they are and what they can do.

At Guidepost Montessori, our Lead Toddler Guides create calm, purposeful environments where curiosity, independence, and confidence grow every day.

If you’re passionate about early childhood development and ready to lead a classroom designed for exploration and independence, this is your opportunity to make a meaningful impact.

Your Role

As a Lead Toddler Guide, you’ll lead a mixed-age toddler classroom in a Montessori environment thoughtfully designed to support children during one of the most formative stages of development.

Montessori guides prepare beautiful, orderly environments that invite exploration and support independence. Through careful observation, individualized lessons, and respectful guidance, you’ll help each child develop language, coordination, self-regulation, and confidence.

Your leadership will empower toddlers to explore freely, make choices, and take pride in what they can accomplish laying the foundation for lifelong learning.

What You’ll Do

• Observe each child closely to understand and support their physical, emotional, and cognitive development
• Prepare and maintain a beautiful, orderly classroom that fosters focus, independence, and exploration
• Support independence by encouraging toddlers to “do it themselves”
• Provide lessons in practical life skills, language development, and grace and courtesy
• Build warm, trusting relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead classroom routines and collaborate with team members to create a respectful, joyful community

The Montessori Prepared Environment

Every Guidepost toddler classroom is fully equipped with high-quality Montessori materials and designed according to the principles of beauty, order, and independence.

Our toddler environments feature:

• Open spaces that encourage movement and exploration
• Child-sized furniture and tools to support independence
• Curriculum that builds skills in dressing, feeding, and toilet learning
• Scientifically designed materials for fine and gross motor development
• Natural elements including cozy rugs, real plants, and abundant light
• Beautiful, breakable materials made from wood, metal, and glass
• Opportunities to climb, crawl, and explore without restrictive devices

What We’re Looking For

• Interest in pursuing fully sponsored Montessori certification through our Prepared Montessorian Institute, or a previously earned Montessori diploma
• Experience working with children ages 0–3 in a group care or early learning setting
• Alignment with child-led educational approaches (Montessori, Reggio Emilia, or similar)
• Required ECE or Child Development credits
• Bachelor’s degree (ECE or Child Development)

What We Offer

• Sponsored Montessori diploma training and ongoing professional development
• Competitive salary Salary Range: $40,000-47,000
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A collaborative, supportive network of peers and mentors
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children from 3 months to 6 years old in our Nido, Toddler, and Children’s House programs.

We believe children are capable and we intentionally design environments that empower them to explore, grow, and flourish. Our mission is to transform education by nurturing independence, joy, and lifelong learning.

If you’re inspired by toddler development, excited to partner with families, and ready to lead with purpose, we’d love to welcome you to Guidepost Montessori.

Apply today and help toddlers take their next big steps.

Inspire curiosity. Build independence. Shape a lifelong love of learning.

At Guidepost Montessori, our Lead Children’s House Guides empower children ages 3–6 to grow into confident, capable learners through thoughtfully prepared environments and respectful, individualized guidance.

If you’re passionate about early childhood education and excited to lead a classroom where independence and joy take center stage, we’d love to meet you.

Your Role

As a Lead Children’s House Guide, you’ll lead a mixed-age preschool classroom in a Montessori environment designed to nurture concentration, confidence, and deep learning.

Montessori guides carefully prepare their classrooms to spark curiosity and independence. Through close observation, individualized lessons, and intentional language, you’ll support each child’s academic, social, and emotional development meeting them where they are and helping them grow.

Children in Montessori classrooms have the freedom to choose meaningful work, repeat activities until mastery, and take pride in their accomplishments. Your guidance helps every child develop focus, confidence, and a strong belief in their own abilities.

What You’ll Do

• Observe each child closely to understand and support their physical, intellectual, and emotional development
• Prepare and maintain a beautiful, orderly classroom that fosters concentration and independence
• Encourage self-confidence by supporting children as they learn to “do it themselves”
• Provide individualized and small-group lessons in practical life, literacy, math, and beyond
• Build strong, respectful relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead your classroom with warmth, professionalism, and purpose

The Montessori Prepared Environment

Every Guidepost Children’s House classroom is fully equipped with high-quality Montessori materials and designed around the principles of beauty, order, and accessibility.

A Guidepost Children’s House environment includes:

• Child-sized furniture and ample floor space for independent and small-group work
• Practical life materials for sweeping, food preparation, table setting, and care of the environment
• Curriculum that builds independence in dressing, feeding, and self-care
• Hands-on materials for literacy, math, science, and cultural studies
• Low shelves and child-level artwork for full accessibility
• Cozy reading spaces, real plants, and abundant natural light
• Beautiful, breakable materials made from wood, metal, and glass

What We’re Looking For

• Montessori diploma for ages 3–6, or willingness to obtain certification (fully sponsored)
• Experience working with children ages 3–6 in a group learning environment
• Alignment with child-led philosophies such as Montessori or Reggio Emilia
• Required ECE or Child Development credits
• Bachelor’s degree in (ECE or Child Development)

What We Offer

• Sponsored Montessori diploma training through the Prepared Montessorian Institute
• Ongoing professional development and mentorship
• Competitive salary $40,000-49,000
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A supportive network of passionate educators
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children ages 3 months to 6 years in our Nido, Toddler, and Children’s House programs.

We believe children are capable. Our mission is to transform education by designing learning environments that cultivate independence, joy, and lifelong curiosity for children, families, and educators alike.

Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration. 

What you will do:

• Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
• Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.
• Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
• Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.
• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.
• Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.
• Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• Help build and ship AI agents that help automate key auto-shop business processes.

We are looking for people who have:

• Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.
• Proven experience shipping models into production (not just proof-of-concepts or notebooks).
• Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.
• Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.
• Bachelor’s degree in a STEM field, or equivalent practical experience.
• Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.

Nice to have:

Candidates should have some experience in one or more of the following areas.

• Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML. 
• Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.
• Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
• Experience with/interest in LLM workflows and agentic workflows
• Cloud infrastructure experience, (e.g. GCP, AWS).
• Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.
• Strong SQL skills for working with large-scale data.
• Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.

Bonus Points:

• Prior experience working at a high growth startup.
• Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
• Background in data processing or real-time analytics.
• Experience with Snowflake or other large-scale data warehouse solutions.

In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

Inspire curiosity. Build independence. Shape a lifelong love of learning.

At Guidepost Montessori, our Lead Children’s House Guides empower children ages 3–6 to grow into confident, capable learners through thoughtfully prepared environments and respectful, individualized guidance.

If you’re passionate about early childhood education and excited to lead a classroom where independence and joy take center stage, we’d love to meet you.

Your Role

As a Lead Children’s House Guide, you’ll lead a mixed-age preschool classroom in a Montessori environment designed to nurture concentration, confidence, and deep learning.

Montessori guides carefully prepare their classrooms to spark curiosity and independence. Through close observation, individualized lessons, and intentional language, you’ll support each child’s academic, social, and emotional development meeting them where they are and helping them grow.

Children in Montessori classrooms have the freedom to choose meaningful work, repeat activities until mastery, and take pride in their accomplishments. Your guidance helps every child develop focus, confidence, and a strong belief in their own abilities.

What You’ll Do

• Observe each child closely to understand and support their physical, intellectual, and emotional development
• Prepare and maintain a beautiful, orderly classroom that fosters concentration and independence
• Encourage self-confidence by supporting children as they learn to “do it themselves”
• Provide individualized and small-group lessons in practical life, literacy, math, and beyond
• Build strong, respectful relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead your classroom with warmth, professionalism, and purpose

The Montessori Prepared Environment

Every Guidepost Children’s House classroom is fully equipped with high-quality Montessori materials and designed around the principles of beauty, order, and accessibility.

A Guidepost Children’s House environment includes:

• Child-sized furniture and ample floor space for independent and small-group work
• Practical life materials for sweeping, food preparation, table setting, and care of the environment
• Curriculum that builds independence in dressing, feeding, and self-care
• Hands-on materials for literacy, math, science, and cultural studies
• Low shelves and child-level artwork for full accessibility
• Cozy reading spaces, real plants, and abundant natural light
• Beautiful, breakable materials made from wood, metal, and glass

What We’re Looking For

• Montessori diploma for ages 3–6, or willingness to obtain certification (fully sponsored)
• Experience working with children ages 3–6 in a group learning environment
• Alignment with child-led philosophies such as Montessori or Reggio Emilia
• Required ECE or Child Development credits
• Bachelor’s degree in (Child Development or Early Childhood Education)

What We Offer

• Sponsored Montessori diploma training through the Prepared Montessorian Institute
• Ongoing professional development and mentorship
• Competitive salary Salary Range: $42,000-50,000+
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A supportive network of passionate educators
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children ages 3 months to 6 years in our Nido, Toddler, and Children’s House programs.

We believe children are capable. Our mission is to transform education by designing learning environments that cultivate independence, joy, and lifelong curiosity for children, families, and educators alike.

We are now hiring a Lead Spanish Preschool Teacher for our lovely Guidepost Montessori School at Alicia!

Get the opportunity to empower 3 to 6-year-olds to gain independence, self-confidence, and an enduring love of learning!  

$40,000-48,000

Your Role  

We're looking for an enthusiastic, dedicated Lead Guide (Teacher) to support a mixed-age class of preschool age children in a Montessori environment.  

In a Montessori class, guides (teachers) carefully prepare an environment that fosters independence and captivates a child’s interest. Guides provide personalized support to each child. They work with children individually and in small groups, demonstrating how to use the materials and perform activities with them, and giving precise language to understand their experiences.   

Because of the carefully prepared environment and individualized support, children in a Montessori class have tremendous liberty to explore the environment and work on materials of their choice for as long as they want. Most importantly, the support and materials help every child develop skills, confidence, and a firm conviction that they are capable.   

We’re looking for a Lead Guide who will bring their best in order to support every child in reaching their highest potential!  

Children’s House Lead Guides:  

• Observe each child closely to understand and meet their physical, intellectual, and emotional needs   

• Prepare a beautiful, orderly environment that fosters concentration, independence, and deep learning  

• Cultivate independence and self-confidence by helping children ‘do it all by themselves’   

• Provide individual and small-group lessons to support each child’s development in practical skills, literacy, math, and so much more  

• Form personal connections with each child and cultivate a community of respect  

• Communicate and collaborate respectfully with parents to provide the best possible support for every child  

The Montessori Prepared Environment  

Every classroom at Guidepost comes equipped with the full range of high-quality Montessori materials for the Children’s House curriculum, as well as a budget for guides to personalize their space. Each classroom is set up according to the Montessori principles of beauty and order and is designed to enable every child to learn, concentrate, and confidently achieve their independence.   

A Guidepost Montessori Children’s House space features:  

• Child-sized furniture and ample floor space for children to work independently or in small groups  

• Practical life materials for children to sweep, set the table, dust, prepare meals, and so much more   

• Curriculum for independence: in dressing themselves, feeding themselves, caring for the space etc.  

• Scientifically designed, hands-on learning materials for gaining core knowledge in math, literacy, science, and so much more   

• All materials made accessible to children on low shelves and all art at the child’s level  

• Cozy reading areas, real plants, and plenty of natural light 

• Breakable objects made from natural materials like wood, metal, and glass rather than plastic  

If you’re passionate about giving children the tools they need to succeed, eager to partner with parents on their child’s journey, and longing to join a collaborative community of peers, then the team at Guidepost Montessori would love to hear from you!  

An ideal candidate has:  

• Obtained or willing to obtain a Montessori diploma for 3-6 

• Experience working with children ages 3-6 in a group setting such as daycare, aftercare, or preschool 

• Familiarity with child-led philosophies such as Reggio Emilia or Montessori and/or open to learning more! 

• 12 Early Childhood Education (ECE) or Child Development credits 

• Earned a Bachelor’s Degree in Child Development or Early Childhood Education
• Bilingual in English and Spanish

What we offer:  

• The opportunity to contribute to a high-quality Montessori program that serves the individual needs of each child  

• Sponsored Montessori diploma and ongoing professional development through the Prepared Montessorian Institute   

• 75% tuition discount for two children at any school in our network (we serve children from 3-months-old through 6 years old)  

• A network of supportive peers and mentors who appreciate your valuable contributions and regularly share best practices   

• Abundant career growth and promotion opportunities 

• A competitive salary 

• Health, dental, and vision insurance 

• Paid time off and paid holidays  

About Us  

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children ages 0-12 in our Nido, Toddler, Children’s House, and Elementary programs. 
  

At Guidepost, we believe children are capable and we design an education for independence. We’re on a mission to radically transform education based on this belief—for children, parents, and educators!   

Our mission? Children who fully experience and joyfully achieve their own development; children who can reach their highest potential and flourish—in school and in life!  

If you love children and have been looking for the right opportunity to grow, join our school community by applying below!  

Help toddlers discover who they are and what they can do.

At Guidepost Montessori, our Lead Toddler Guides create calm, purposeful environments where curiosity, independence, and confidence grow every day.

If you’re passionate about early childhood development and ready to lead a classroom designed for exploration and independence, this is your opportunity to make a meaningful impact.

Your Role

As a Lead Toddler Guide, you’ll lead a mixed-age toddler classroom in a Montessori environment thoughtfully designed to support children during one of the most formative stages of development.

Montessori guides prepare beautiful, orderly environments that invite exploration and support independence. Through careful observation, individualized lessons, and respectful guidance, you’ll help each child develop language, coordination, self-regulation, and confidence.

Your leadership will empower toddlers to explore freely, make choices, and take pride in what they can accomplish laying the foundation for lifelong learning.

What You’ll Do

• Observe each child closely to understand and support their physical, emotional, and cognitive development
• Prepare and maintain a beautiful, orderly classroom that fosters focus, independence, and exploration
• Support independence by encouraging toddlers to “do it themselves”
• Provide lessons in practical life skills, language development, and grace and courtesy
• Build warm, trusting relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead classroom routines and collaborate with team members to create a respectful, joyful community

The Montessori Prepared Environment

Every Guidepost toddler classroom is fully equipped with high-quality Montessori materials and designed according to the principles of beauty, order, and independence.

Our toddler environments feature:

• Open spaces that encourage movement and exploration
• Child-sized furniture and tools to support independence
• Curriculum that builds skills in dressing, feeding, and toilet learning
• Scientifically designed materials for fine and gross motor development
• Natural elements including cozy rugs, real plants, and abundant light
• Beautiful, breakable materials made from wood, metal, and glass
• Opportunities to climb, crawl, and explore without restrictive devices

What We’re Looking For

• Interest in pursuing fully sponsored Montessori certification through our Prepared Montessorian Institute, or a previously earned Montessori diploma
• Experience working with children ages 0–3 in a group care or early learning setting
• Alignment with child-led educational approaches (Montessori, Reggio Emilia, or similar)
• Required ECE or Child Development credits
• Bachelor’s degree (ECE or Child Development)

What We Offer

• Sponsored Montessori diploma training and ongoing professional development
• Competitive salary $40,000-47,000
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A collaborative, supportive network of peers and mentors
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children from 3 months to 6 years old in our Nido, Toddler, and Children’s House programs.

We believe children are capable and we intentionally design environments that empower them to explore, grow, and flourish. Our mission is to transform education by nurturing independence, joy, and lifelong learning.

If you’re inspired by toddler development, excited to partner with families, and ready to lead with purpose, we’d love to welcome you to Guidepost Montessori.

Apply today and help toddlers take their next big steps.

Help toddlers discover who they are and what they can do.

At Guidepost Montessori, our Lead Toddler Guides create calm, purposeful environments where curiosity, independence, and confidence grow every day.

If you’re passionate about early childhood development and ready to lead a classroom designed for exploration and independence, this is your opportunity to make a meaningful impact.

Your Role

As a Lead Toddler Guide, you’ll lead a mixed-age toddler classroom in a Montessori environment thoughtfully designed to support children during one of the most formative stages of development.

Montessori guides prepare beautiful, orderly environments that invite exploration and support independence. Through careful observation, individualized lessons, and respectful guidance, you’ll help each child develop language, coordination, self-regulation, and confidence.

Your leadership will empower toddlers to explore freely, make choices, and take pride in what they can accomplish laying the foundation for lifelong learning.

What You’ll Do

• Observe each child closely to understand and support their physical, emotional, and cognitive development
• Prepare and maintain a beautiful, orderly classroom that fosters focus, independence, and exploration
• Support independence by encouraging toddlers to “do it themselves”
• Provide lessons in practical life skills, language development, and grace and courtesy
• Build warm, trusting relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead classroom routines and collaborate with team members to create a respectful, joyful community

The Montessori Prepared Environment

Every Guidepost toddler classroom is fully equipped with high-quality Montessori materials and designed according to the principles of beauty, order, and independence.

Our toddler environments feature:

• Open spaces that encourage movement and exploration
• Child-sized furniture and tools to support independence
• Curriculum that builds skills in dressing, feeding, and toilet learning
• Scientifically designed materials for fine and gross motor development
• Natural elements including cozy rugs, real plants, and abundant light
• Beautiful, breakable materials made from wood, metal, and glass
• Opportunities to climb, crawl, and explore without restrictive devices

What We’re Looking For

• Interest in pursuing fully sponsored Montessori certification through our Prepared Montessorian Institute, or a previously earned Montessori diploma
• Experience working with children ages 0–3 in a group care or early learning setting
• Alignment with child-led educational approaches (Montessori, Reggio Emilia, or similar)
• Required 12 ECE or Child Development credits
• Bachelor’s degree (ECE or Child Development related field)

What We Offer

• Sponsored Montessori diploma training and ongoing professional development
• Competitive salary Salary Range: $42,000-50,000
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A collaborative, supportive network of peers and mentors
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children from 3 months to 6 years old in our Nido, Toddler, and Children’s House programs.

We believe children are capable and we intentionally design environments that empower them to explore, grow, and flourish. Our mission is to transform education by nurturing independence, joy, and lifelong learning.

If you’re inspired by toddler development, excited to partner with families, and ready to lead with purpose, we’d love to welcome you to Guidepost Montessori.

Apply today and help toddlers take their next big steps.

Inspire curiosity. Build independence. Shape a lifelong love of learning.

At Guidepost Montessori, our Lead Children’s House Guides empower children ages 3–6 to grow into confident, capable learners through thoughtfully prepared environments and respectful, individualized guidance.

If you’re passionate about early childhood education and excited to lead a classroom where independence and joy take center stage, we’d love to meet you.

Your Role

As a Lead Children’s House Guide, you’ll lead a mixed-age preschool classroom in a Montessori environment designed to nurture concentration, confidence, and deep learning.

Montessori guides carefully prepare their classrooms to spark curiosity and independence. Through close observation, individualized lessons, and intentional language, you’ll support each child’s academic, social, and emotional development meeting them where they are and helping them grow.

Children in Montessori classrooms have the freedom to choose meaningful work, repeat activities until mastery, and take pride in their accomplishments. Your guidance helps every child develop focus, confidence, and a strong belief in their own abilities.

What You’ll Do

• Observe each child closely to understand and support their physical, intellectual, and emotional development
• Prepare and maintain a beautiful, orderly classroom that fosters concentration and independence
• Encourage self-confidence by supporting children as they learn to “do it themselves”
• Provide individualized and small-group lessons in practical life, literacy, math, and beyond
• Build strong, respectful relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead your classroom with warmth, professionalism, and purpose

The Montessori Prepared Environment

Every Guidepost Children’s House classroom is fully equipped with high-quality Montessori materials and designed around the principles of beauty, order, and accessibility.

A Guidepost Children’s House environment includes:

• Child-sized furniture and ample floor space for independent and small-group work
• Practical life materials for sweeping, food preparation, table setting, and care of the environment
• Curriculum that builds independence in dressing, feeding, and self-care
• Hands-on materials for literacy, math, science, and cultural studies
• Low shelves and child-level artwork for full accessibility
• Cozy reading spaces, real plants, and abundant natural light
• Beautiful, breakable materials made from wood, metal, and glass

What We’re Looking For

• Montessori diploma for ages 3–6, or willingness to obtain certification (fully sponsored)
• Experience working with children ages 3–6 in a group learning environment
• Alignment with child-led philosophies such as Montessori or Reggio Emilia
• Required ECE or Child Development credits
• Bachelor’s degree in (child development or early childhood education)

What We Offer

• Sponsored Montessori diploma training through the Prepared Montessorian Institute
• Ongoing professional development and mentorship
• Competitive salary $40,000-50,000+
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A supportive network of passionate educators
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children ages 3 months to 6 years in our Nido, Toddler, and Children’s House programs.

We believe children are capable. Our mission is to transform education by designing learning environments that cultivate independence, joy, and lifelong curiosity for children, families, and educators alike.

Inspire curiosity. Build independence. Shape a lifelong love of learning.

At Guidepost Montessori, our Lead Children’s House Guides empower children ages 3–6 to grow into confident, capable learners through thoughtfully prepared environments and respectful, individualized guidance.

If you’re passionate about early childhood education and excited to lead a classroom where independence and joy take center stage, we’d love to meet you.

Your Role

As a Lead Children’s House Guide, you’ll lead a mixed-age preschool classroom in a Montessori environment designed to nurture concentration, confidence, and deep learning.

Montessori guides carefully prepare their classrooms to spark curiosity and independence. Through close observation, individualized lessons, and intentional language, you’ll support each child’s academic, social, and emotional development meeting them where they are and helping them grow.

Children in Montessori classrooms have the freedom to choose meaningful work, repeat activities until mastery, and take pride in their accomplishments. Your guidance helps every child develop focus, confidence, and a strong belief in their own abilities.

What You’ll Do

• Observe each child closely to understand and support their physical, intellectual, and emotional development
• Prepare and maintain a beautiful, orderly classroom that fosters concentration and independence
• Encourage self-confidence by supporting children as they learn to “do it themselves”
• Provide individualized and small-group lessons in practical life, literacy, math, and beyond
• Build strong, respectful relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead your classroom with warmth, professionalism, and purpose

The Montessori Prepared Environment

Every Guidepost Children’s House classroom is fully equipped with high-quality Montessori materials and designed around the principles of beauty, order, and accessibility.

A Guidepost Children’s House environment includes:

• Child-sized furniture and ample floor space for independent and small-group work
• Practical life materials for sweeping, food preparation, table setting, and care of the environment
• Curriculum that builds independence in dressing, feeding, and self-care
• Hands-on materials for literacy, math, science, and cultural studies
• Low shelves and child-level artwork for full accessibility
• Cozy reading spaces, real plants, and abundant natural light
• Beautiful, breakable materials made from wood, metal, and glass

What We’re Looking For

• Montessori diploma for ages 3–6, or willingness to obtain certification (fully sponsored)
• Experience working with children ages 3–6 in a group learning environment
• Alignment with child-led philosophies such as Montessori or Reggio Emilia
• Required ECE or Child Development credits
• Bachelor’s degree in (any field)

What We Offer

• Sponsored Montessori diploma training through the Prepared Montessorian Institute
• Ongoing professional development and mentorship
• Competitive salary Salary Range: $40,000-48,000+
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A supportive network of passionate educators
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children ages 3 months to 6 years in our Nido, Toddler, and Children’s House programs.

We believe children are capable. Our mission is to transform education by designing learning environments that cultivate independence, joy, and lifelong curiosity for children, families, and educators alike.

Inspire curiosity. Build independence. Shape a lifelong love of learning.

At Guidepost Montessori, our Lead Children’s House Guides empower children ages 3–6 to grow into confident, capable learners through thoughtfully prepared environments and respectful, individualized guidance.

If you’re passionate about early childhood education and excited to lead a classroom where independence and joy take center stage, we’d love to meet you.

Your Role

As a Lead Children’s House Guide, you’ll lead a mixed-age preschool classroom in a Montessori environment designed to nurture concentration, confidence, and deep learning.

Montessori guides carefully prepare their classrooms to spark curiosity and independence. Through close observation, individualized lessons, and intentional language, you’ll support each child’s academic, social, and emotional development meeting them where they are and helping them grow.

Children in Montessori classrooms have the freedom to choose meaningful work, repeat activities until mastery, and take pride in their accomplishments. Your guidance helps every child develop focus, confidence, and a strong belief in their own abilities.

What You’ll Do

• Observe each child closely to understand and support their physical, intellectual, and emotional development
• Prepare and maintain a beautiful, orderly classroom that fosters concentration and independence
• Encourage self-confidence by supporting children as they learn to “do it themselves”
• Provide individualized and small-group lessons in practical life, literacy, math, and beyond
• Build strong, respectful relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead your classroom with warmth, professionalism, and purpose

The Montessori Prepared Environment

Every Guidepost Children’s House classroom is fully equipped with high-quality Montessori materials and designed around the principles of beauty, order, and accessibility.

A Guidepost Children’s House environment includes:

• Child-sized furniture and ample floor space for independent and small-group work
• Practical life materials for sweeping, food preparation, table setting, and care of the environment
• Curriculum that builds independence in dressing, feeding, and self-care
• Hands-on materials for literacy, math, science, and cultural studies
• Low shelves and child-level artwork for full accessibility
• Cozy reading spaces, real plants, and abundant natural light
• Beautiful, breakable materials made from wood, metal, and glass

What We’re Looking For

• Montessori diploma for ages 3–6, or willingness to obtain certification (fully sponsored)
• Experience working with children ages 3–6 in a group learning environment
• Alignment with child-led philosophies such as Montessori or Reggio Emilia
• Required ECE or Child Development credits
• Bachelor’s degree in (ECE or Child Development)

What We Offer

• Sponsored Montessori diploma training through the Prepared Montessorian Institute
• Ongoing professional development and mentorship
• Competitive salary $40,000-49,000+
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A supportive network of passionate educators
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children ages 3 months to 6 years in our Nido, Toddler, and Children’s House programs.

We believe children are capable. Our mission is to transform education by designing learning environments that cultivate independence, joy, and lifelong curiosity for children, families, and educators alike.

Make your impact within a rapidly growing Fintech Company

Join BILL's AI Product Engineering team and help shape the future of intelligent financial automation. As a Senior Machine Learning Engineer, you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity to work in a collaborative, high-impact environment where your expertise will directly influence the company's growth and the experience of millions of users.

Responsibilities:

• Design, develop, and deploy robust machine learning models to solve real-world business challenges in the fintech domain
• Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into scalable ML solutions
• Analyze complex datasets, identify patterns, and extract actionable insights to drive product innovation
• Evaluate, optimize, and monitor model performance in production, ensuring reliability and accuracy over time
• Contribute to the development and improvement of AI workflows, agentic evaluation and best practices within the team
• Document methodologies, experiments, and results to ensure knowledge sharing and reproducibility
• Mentor junior team members and share technical expertise to elevate team capabilities

We’d love to chat if you have:

• Proven experience building and deploying machine learning models in production environments
• Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Previous experience with OCR extraction and NLP methodologies
• Knowledge of AI agents and strong experience with LLMs
• Ability to analyze and interpret large, complex datasets using statistical and data analysis techniques
• Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams
• A problem-solving mindset and a passion for continuous learning and innovation

Visa Sponsorship:  Please note that this position is eligible for visa sponsorship. 

#LI

WHAT YOU’LL DO

THE DAY-TO-DAY

• Lead and Define AI Strategy – Set the vision for applied ML research and AI-driven decision-making across Viant’s products and services.
• Drive High-Impact Research – Conduct advanced research in NLP, RL, LLMs, and deep learning, publishing in top-tier conferences while applying findings to real-world production systems.
• Architect and Deploy ML at Scale – Develop, optimize, and deploy high-throughput, low-latency ML models, collaborating with engineers to bring solutions into production.
• Innovate in Generative AI & Causal ML – Explore novel AI techniques, such as LLMs, reinforcement learning, and causal inference, to enhance targeting, personalization, and attribution models.
• Experimentation and Validation – Design, run, and analyze A/B experiments to test ML-driven strategies, ensuring data-driven decision-making.
• Mentor and Influence – Provide technical leadership for a team of applied scientists and ML engineers, fostering a culture of innovation and excellence.

MUST HAVE

• Experience: 4+ years of experience building and deploying machine learning models at scale.
• Technical Leadership: Demonstrated ability to lead complex, high-ambiguity ML projects from research to production.
• Academic & Industry Recognition: Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• Deep Expertise in ML & AI: Strong foundation in deep learning, NLP, generative AI, and causal inference.
• Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, Llama Index).
• Scalability & Cloud: Experience with distributed computing, cloud ML platforms (AWS, GCP, or Azure), and real-time AI inference.

GREAT TO HAVE

• Industry Impact: Publications at top-tier ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI).
• Ad Tech Expertise: Experience in digital advertising, real-time bidding, or audience modeling.
• Generative AI Applications: Hands-on experience with LLMs and multimodal AI applications.
• Optimization & Personalization: Strong background in reinforcement learning, dynamic pricing, or recommendation systems.

LIFE AT VIANT

Investing in our employee’s professional growth is important to us, but so is investing in their well-being. That’s why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more. 

#LI-KW1

Workato AI Lab

About Workato AI Lab

Workato AI Lab is at the forefront of enterprise AI innovation, developing cutting-edge agentic systems that transform how businesses automate and optimize their workflows. Our team bridges academic research with real-world applications, creating AI systems that serve millions of users across global enterprises.

Responsibilities

We are seeking exceptional graduate students to join our AI Lab as Research Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and efficient AI infrastructure, with opportunities to publish your research while making direct impact on production systems serving enterprise customers.

We are now filling intern positions for Winter 2026 and Spring 2027. 

Research Areas

• LLM Agent Systems: Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks

• Efficient LLM Fine-tuning: Develop novel methods for parameter-efficient adaptation, alignment, and reinforcement learning for large language models

• High-Performance LLM Inference: Optimize inference pipelines through systems-level innovations, kernel development, and deployment strategies

In this role, you will also be responsible to:

• Conduct original research on LLM agent architectures and optimization techniques

• Develop and evaluate novel algorithms with both academic rigor and production feasibility

• Present your work at internal research seminars and external conferences

• Mentor and collaborate with LLM  engineers on implementation and deployment

Requirements

Qualifications / Experience / Technical Skills

• Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or related fields

• Publications at top-tier venues (ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL)

• Strong programming skills in Python and PyTorch

• Ability to work in-person at our San Francisco office

• Ability to work independently and collaborate across research and engineering teams

Preferred:

• Experience with self-evolving agent systems

• Proficiency in CUDA programming and custom kernel development for LLM operations

• Background in reinforcement learning-based LLM fine-tuning 

• Track record of contributions to production inference systems such as vLLM, TensorRT-LLM, SGLang, or Hugging Face ecosystem

• Experience bridging academic research with production systems

• Open-source contributions to widely-used ML infrastructure projects

(REQ ID: 2690)

 Position Overview

We are seeking a Strategic Project Lead to own end-to-end delivery and growth for audio and multimodal AI initiatives. This is a client-facing, builder role at the forefront of AI — spanning audio, speech, language, and multimodal systems. The scope includes both commercial and technical ownership. You’ll identify opportunities for collaboration, define the structure and terms of each engagement, and ensure successful delivery across internal and external teams.

Success in this role requires the ability to navigate early-stage problem spaces, build trust with technical stakeholders, and consistently deliver outcomes in complex, evolving environments.

We are looking for a strategic thinker with strong Audio AI data annotation experience who can translate loosely defined technical objectives into executable programs and grow relationships by consistently delivering value in complex, evolving environments.

Primary Responsibilities

1. Delivery Ownership & Client Partnership

• Own P&L, delivery outcomes, and client satisfaction for audio and multimodal engagements
• Lead client conversations and solutioning, translating ambiguous needs into structured programs
• Build strong relationships with enterprise and frontier AI lab partners
• Identify and drive account expansion opportunities, shaping early-stage ideas into commercial engagements

2. Delivery Systems & Scalable Execution

• Design and run high-performance delivery systems across audio and multimodal workflows
• Define metrics and leading indicators to proactively manage quality, speed, and cost
• Build reusable playbooks and frameworks to accelerate program launches
• Scale and structure global delivery teams, ensuring clear ownership and fast decision-making

3. Cross-Functional Influence & Strategic Alignment

• Align product, engineering, and operations around client priorities
• Drive execution in ambiguous, fast-changing environments
• Feed client and delivery insights into internal roadmap and capability building

4. Technical & Domain Leadership (Audio / Multimodal)

• Own and evolve Turing’s audio and speech capability across ASR, TTS, conversational audio, and multimodal systems
• Build new audio offerings — including data generation, evaluation frameworks, alignment workflows, and emerging agentic/audio use cases
• Partner with ML/research teams to define benchmarks and evaluation methodologies
• Translate advances in LLMs, speech, and multimodal AI into scalable, client-ready solutions

Requirements

Core Experience

• Demonstrated experience in delivery management, program management, or technical operations — with exposure to AI/ML or data workflows
• Domain background and experience in audio/speech AI, ASR/TTS, NLP, or multimodal data annotation
• Familiarity with frontier AI lab workflows: model evaluation, RLHF, alignment, benchmarking. Knowledge of the latest multimodal AI technologies and how they can improve annotation pipelines

Problem Solving & Ownership

• Strong first-principles problem-solving ability; comfortable operating with ambiguity
• Proven ability to own and scale complex programs end-to-end
• High ownership mindset with bias for action

Communication & Execution

• Strong communication skills; able to engage technical and business stakeholders
• Ability to make trade-offs across quality, speed, and cost
• Strong analytical skills with experience using data to drive decisions

Other

• Comfortable working across global teams and time zones
• Location : Based out of US
• Salary: $200k - $250k 

What You’ll Do 

• Design, implement, and evaluate novel machine learning and deep learning algorithms, concentrating on Large Language Models (LLMs), automated speech recognition (transcription), and unified multimodal architectures. 
• Iterate on AI model development, starting from the data needed for training, architecture, input/output representations, evaluation, and deployment for complex sequence-to-sequence and multimodal tasks. 
• Collaborate with other research engineers to prototype and validate complex solutions from academic literature in natural language processing and speech. 
• Conduct experiments to benchmark new techniques and evaluate model behavior. 
• Develop tools and frameworks to support scalable and reproducible research and development. 
• Communicate research findings to leadership in a concise, and convincing manner. 
• Stay current with the latest developments in Generative AI and Speech/Language Models and identify relevant innovations. 
• Assist in transitioning research prototypes into production-ready systems. 

Minimum Education Requirement: Master’s degree in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics.  

Minimum Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 3 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.  

Alternate Education Requirement: PhD in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics. 

Alternate Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 2 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.

Please apply online at: https://www.archer.com/careers. Must put job code SJ2026YM on resume/CV and cover letter. 

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. For this position we are offering $240,000 to $252,000 per year.

#LI-DNF

About the Team: 

Relativity Space is on a mission to better connect humanity to space and the universe beyond our planet. With decades of experience scaling world-class technology organizations like Google, CEO Eric Schmidt is guiding Relativity into its next phase: advancing Terran R toward launch and building the foundation for long-term impact. 

The Data & AI organization at Relativity Space is a critical pillar supporting our work to build autonomous rocket factories and launch platforms. Our mission is to develop and integrate data engineering, machine learning, and AI technologies that provide actionable insights, automate decision-making, and drive efficiencies across our operations.

As a director, you’ll shape the strategies and technologies that power these systems. You will lead a cross-functional team focused on delivering high-performance data pipelines, building scalable AI models, and ensuring that AI-driven automation plays a central role in transforming operations from Earth to Mars

About the Role:

As the Director of Data & AI, you will be responsible for the strategic direction and technical leadership of our data and AI initiatives, which include:

• Data Engineering: Lead the design and implementation of scalable data architectures, including ETL pipelines, data modeling, data warehouse management, and reporting infrastructure, ensuring high-quality, actionable data across all systems.
• Data Platform: Oversee the development of a distributed data platform that supports mission-critical applications, enabling real-time data ingestion, access, and orchestration for test and launch and factory operations.
• Machine Learning & AI: Direct the design, development, and deployment of AI and machine learning models that leverage our data to drive automation, decision-making, and predictive analytics across the organization. Ensure these models are scalable, reliable, and move the needle on critical metrics for the company.
• Leadership & Mentorship: Lead, mentor, and grow a team of software engineers, data engineers and machine learning engineers. Create an environment that fosters innovation, continuous learning, and technical excellence while aligning goals with company objectives.
• Collaboration & Strategy: Partner with leadership and cross-functional users across the company to define the long-term strategy for data and AI initiatives, aligning the technical roadmap with company goals.

About You:

• Education: Degree in Computer Science.
• Experience: 10+ years of experience in software engineering, data engineering or machine learning, with at least 5 years in a leadership role, overseeing large-scale systems.
• AI & Machine Learning Expertise: Experience designing, building, and deploying AI models and machine learning systems, particularly in high-performance or mission-critical environments. Proficient in AI techniques including deep learning, reinforcement learning, and natural language processing.
• Foundational Machine Learning Knowledge: Understanding of core ML concepts. Experience with advanced models such as Transformers/LLMs, LSTM models, time-series forecasting, and predictive analytics for real-time decision-making and automation. Familiarity with the mathematical underpinnings of ML.
• AI Infrastructure Experience: Experience with building and scaling AI infrastructure, including deploying and managing machine learning models in production environments. Experience with agentic architectures (e.g., MCP).
• Data Engineering: Experience in building scalable data architectures, including ETL pipelines, data modeling, and analytics.
• Expertise with modern data tools and technologies (e.g., Kafka, Spark, SQL, NoSQL, data lakes).
• Cloud & Platform Development: Understanding of cloud platforms (AWS, GCP, etc.), containerization (Docker, Kubernetes), and orchestration for building and deploying services.
• Leadership & Strategy: Demonstrated ability to lead and mentor teams, build a strong technical culture, and drive organizational change.
• Experience in developing strategic roadmaps and managing cross-functional collaborations to align on company-wide data and AI objectives.

Nice to haves but not required:  

• Direct experience with aerospace or manufacturing

Travel:

• Occasional visits to Relativity Space facilities across the United States

The Role

We are seeking a Staff Machine Learning Engineer with deep expertise in agentic AI — and a true passion for experimentation and creation — to design, build, test, evaluate, and productionize next-generation autonomous AI agents for healthcare and clinical research. If you love rapidly prototyping wild ideas, running build-test-learn cycles, iterating on novel agent behaviors, and turning unsolved challenges into working systems, this is the role for you. You will own end-to-end agentic workflows that reason, plan, use tools, orchestrate multi-agent collaboration, and deliver safe, reliable outcomes in highly regulated environments, while collaborating with multidisciplinary teams to influence Medeloop’s technological direction. You will also be nested within a team of advisors and collaborators with deep medical and health expertise, including scientists, clinicians, and AI experts, including the former FDA commissioner, former editor of JAMA, and developer of BloombergGPT. The result: You will be an active participant in fostering a data lead public health and healthcare ecosystem. 

What You'll Own

• Lead the design and architecture of advanced agentic AI systems, including reasoning loops (ReAct, CoT, ToT), tool-calling, dynamic multi-agent orchestration, RAG pipelines, memory/state management, and emerging protocols like Model Context Protocol (MCP) and Agent-to-Agent (A2A).
• Build and own production-grade agent infrastructure, including prompts, function tools, workflow graphs, MCP/A2A integrations, and adaptive agent lifecycle management (spinning up, specializing, delegating, and decommissioning agents dynamically for complex healthcare workflows).
• Develop rigorous evaluation and safety frameworks — automated testing, benchmarking, regression testing, adversarial testing, safety guardrails, observability (tracing, logging, metrics), and human-in-the-loop mechanisms to ensure reliable, compliant performance in production.
• Drive LLM and ML model development — train, fine-tune, and deploy large-scale models on healthcare datasets, working closely with researchers and clinicians to solve real clinical challenges.
• Shape Medeloop’s agentic AI strategy and roadmap in close partnership with the C-suite and cross-functional leadership.
• Stay at the cutting edge of agentic AI (multi-modal agents, advanced reasoning models, interoperability protocols) and help establish Medeloop as a leader in transparent, compliant healthcare AI.

What We're Looking For

• 7+ years of hands-on experience as a Machine Learning Engineer, with a proven track record building and shipping production agentic AI systems (single- or multi-agent) in industry, ideally in healthcare, life sciences, or other related domains.
• Experience working on analytic engines (or advanced analytics platforms) — designing, optimizing, or integrating systems that power data-driven insights, queries, or decision-making at scale.
• Strong theoretical foundation in ML/AI, with emphasis on NLP/LLMs, reinforcement learning, planning/reasoning algorithms.
• Deep expertise with agentic frameworks and tools: LangChain/LangGraph, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols, Hugging Face, PyTorch, vector databases/semantic search, prompt engineering, and observability platforms (e.g., LangSmith, Phoenix).
• Experience designing fully automated evaluation and testing pipelines for autonomous agents and their orchestration, including metrics for reliability, safety, factuality, cost/latency, clinical utility, and dynamic behaviors.
• A builder/experimenter mindset — you thrive on rapid prototyping, testing bold new ideas, iterating quickly on agent designs, and exploring uncharted territory in agentic systems.
• Passion for unsolved challenges in healthcare AI, with the ability to thrive in a fast-paced, multidisciplinary environment and wear multiple hats.

Bonus Points

• Strong record in top AI/ML conferences/journals; experience with healthcare data (EHRs, claims) and regulatory considerations (HIPAA, transparency, reproducibility).
• Multi-cloud experience (AWS, Azure, GCP)

Why Medeloop

• Ownership from day one: small team, high-trust, no layers between your work and its impact
• Technically ambitious: you'll build AI-powered workflows, not just support them
• Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter
• Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build

Responsibilities

As we work towards building out the Context Layer for the Agentic Enterprise, we are looking for an exceptional Search/AI Engineer with experience in Search Relevance to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You’ll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale.

In this role, you will also be responsible for:

• Lead the development of advanced query understanding systems that parse natural language, resolve ambiguity, and infer user intent

• Design and deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback

• Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval

• Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing

• Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data

• Drive improvements in query rewriting, intent classification, and semantic search, using both statistical and neural methods

• Own the design of evaluation frameworks for offline/online relevance testing, A/B experimentation, and continual model tuning

• Collaborate with product and applied research teams to translate user needs into data-informed search innovations

• Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's/Master's/PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field

• 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields

• Strong proficiency in Python

• Hands-on experience with search engines (Opensearch or Elasticsearch)

• Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models)

• Experience with text processing, NLP, and relevance tuning

• Experience with relevance evaluation metrics (NDCG, MRR, MAP)

• Experience with large-scale distributed systems

• Proficiency in Knowledge Graph construction and optimization is a plus

• Strong analytical and problem-solving skills

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts

• Collaborative mindset for cross-functional teamwork

• Detail-oriented with strong focus on quality

• Self-motivated and able to work independently

• Passion for solving complex search problems

(REQ ID: 2472)

Responsibilities

As Staff Product Manager for Builder Experience, you will define and execute the strategy to deliver world-class authoring experiences that empower both technical and business users to create sophisticated automations efficiently. Your goal is to build intuitive, powerful, and intelligent builder tools that set the standard for low-code/no-code platforms while supporting advanced patterns for complex enterprise use cases.

• Enable Advanced Integration Patterns

  • Support complex enterprise patterns including scatter-gather and asynchronous processing
  • Build capabilities for multiple trigger configurations and conditional routing
  • Deepen debugging capabilities such as mid-job reruns and viewing logs in loops
  • Ensure the platform can handle sophisticated error handling and compensation patterns
  • Drive innovation in how users visualize and manage complex workflow orchestrations

  Leadership in Builder Experience Innovation

  • Develop and execute the product strategy for comprehensive authoring experiences across the entire automation lifecycle
  • Define and prioritize the roadmap for next-generation builder capabilities including AI-powered copilot features, advanced debugging tools, and intelligent assistance
  • Champion user-centric design principles to ensure the builder experience delights users at every skill level
  • Drive adoption of advanced integration patterns including multiple triggers, scatter-gather, and promise-based architectures

  Drive AI-Powered Development Assistance

  • Integrate AI copilot capabilities to accelerate automation development through intelligent code suggestions and pattern recognition
  • Build smart error detection and resolution features that guide users to successful implementations
  • Leverage machine learning to provide contextual help and recommendations based on user behavior and common patterns
  • Partner with AI research teams to infuse intelligence throughout the authoring experience

  Build Comprehensive Development Tools

  • Own the macro-view experience for managing multiple assets working together, ensuring seamless collaboration and reusability
  • Deliver micro-view capabilities for deep debugging of individual steps, loops, and data transformations
  • Implement robust design-time testing capabilities that reduce errors before deployment
  • Create sophisticated undo/redo mechanisms, draft management, and autosave features that protect user work

  Lead Cross-Functional Execution

  • Collaborate closely with engineering, UX, and architecture teams to deliver seamless builder experiences
  • Partner with Platform Experience PM to ensure consistency across the platform
  • Work with customer success and support teams to understand pain points and iterate on solutions
  • Act as the voice of the builder, advocating for developer and business user needs across the organization

Requirements

Leadership & Product Management

• 8+ years of product management experience in SaaS or B2B environments, with focus on developer tools or low-code/no-code platforms
• Proven success in shipping complex authoring experiences that balance simplicity with power
• Strong track record of improving developer productivity metrics and user satisfaction scores
• Experience leading cross-functional initiatives that require deep technical understanding and user empathy

Builder & Developer Tools Expertise

• Deep expertise in IDE design, code editors, visual programming interfaces, and debugging tools
• Strong understanding of both low-code/no-code paradigms and traditional development workflows
• Experience with modern development practices including version control, CI/CD, and collaborative development
• Hands-on experience with automation platforms, iPaaS solutions (Zapier, Make, Mulesoft, Boomi), or workflow builders
• Familiarity with AI-assisted development tools and copilot technologies

Technical Foundation

• Strong technical background with ability to understand complex integration patterns and distributed systems
• Experience with API design, data transformation, and enterprise integration patterns
• Understanding of performance optimization, scalability challenges, and enterprise-grade requirements
• Ability to work closely with engineering teams on technical architecture decisions

AI & Intelligent Automation

• Experience integrating AI/ML capabilities into development tools to enhance productivity
• Understanding of natural language processing for intent recognition and code generation
• Familiarity with predictive analytics for error prevention and performance optimization
• Vision for how AI can transform the development experience without sacrificing control

Customer-Centric Execution

• Ability to deeply understand the needs of diverse user personas from citizen developers to enterprise architects
• Proven ability to translate complex technical concepts into intuitive user experiences
• Track record of using data, user research, and feedback to drive product decisions
• Experience balancing the needs of technical and non-technical users in a single platform

Analytical & Data-Driven Decision Making

• Strong ability to define and track metrics that matter for developer productivity and satisfaction
• Experience with A/B testing, feature experimentation, and iterative improvement
• Ability to analyze usage patterns to identify opportunities for simplification and automation
• Data-driven approach to prioritization and roadmap planning

Educational Background

• Bachelor's Degree in Computer Science, Engineering, Human-Computer Interaction, or a related field
• An advanced degree is a plus but not required

For California applicants, the pay for this role may range between $180,000 - $240,000 plus benefits, perks, and equity. The final package will depend on the interview process, we're open to negotiation.

Job Req #2285

Responsibilities

We are looking for an exceptional Senior Software Engineer (Search / Retrieval) to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You’ll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. You will also be responsible to:

• Lead the development of advanced our search cluster that can scale to millions of documents across customers and data sources

• Deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback.

• Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval.

• Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing.

• Drive improvements in query construction, indexing and search performance

• Be up-to-date with the latest improvements in search and indexing technologies

• Collaborate with product and applied research teams to translate user needs into data-informed search innovations

• Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack.

Requirements

Qualifications / Experience / Technical Skills

• Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field.

• 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields

• Strong proficiency in Python

• Hands-on experience with search engines (Opensearch or Elasticsearch)

• Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models)

• Experience with text processing, NLP, and relevance tuning

• Experience with relevance evaluation metrics (NDCG, MRR, MAP)

• Experience with large-scale distributed systems

• Strong analytical and problem-solving skills

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts

• Collaborative mindset for cross-functional team work

• Detail-oriented with strong focus on quality

• Self-motivated and able to work independently

• Passion for solving complex search problems

(REQ ID: 2272)

Responsibilities

As we work towards building out the Context Layer for the Agentic Enterprise, we are looking for an exceptional Search/AI Engineer with experience in Search Relevance to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You’ll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale.

 In this role, you will also be responsible to:

• Lead the development of advanced query understanding systems that parse natural language, resolve ambiguity, and infer user intent.

• Design and deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback.

• Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval.

• Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing.

• Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data.

• Drive improvements in query rewriting, intent classification, and semantic search, using both statistical and neural methods.

• Own the design of evaluation frameworks for offline/online relevance testing, A/B experimentation, and continual model tuning.

• Collaborate with product and applied research teams to translate user needs into data-informed search innovations

• Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack.

Requirements

Qualifications / Experience / Technical Skills

• Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field.

• 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields

• Strong proficiency in Python

• Hands-on experience with search engines (Opensearch or Elasticsearch)

• Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models)

• Experience with text processing, NLP, and relevance tuning

• Experience with relevance evaluation metrics (NDCG, MRR, MAP)

• Experience with large-scale distributed systems

• Proficiency in Knowledge Graph construction and optimization is a plus.

• Strong analytical and problem-solving skills

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts

• Collaborative mindset for cross-functional team work

• Detail-oriented with strong focus on quality

• Self-motivated and able to work independently

• Passion for solving complex search problems

For candidates based in California, New York, and Colorado the expected salary range for this role is $215,000–$285,000. Actual compensation will vary based on experience, qualifications, and location. This role may also be eligible for equity and benefits.

(REQ ID: 2472)

ABOUT US

Fashion Nova is the world’s leading trend-to-market fashion and lifestyle brand with high-growth categories across its Women, Men, Kids and Beauty divisions. Renowned for delivering the most-wanted styles to millions worldwide, Fashion Nova earned the title of the Top 5 Most-Searched Fashion Brand on Google in 2022, alongside Louis Vuitton and Nike.

Founder & CEO Richard Saghian launched the brand in 2006, from a retail location in Los Angeles. After multiple store openings, Saghian launched the e-commerce website for Fashion Nova in 2013, pioneering a disruptive social commerce model of affordable, on-trend, size-inclusive clothing online– powered by an innovative, social media-first marketing strategy.

Today, Fashion Nova has amassed over 40 million social media followers, with annual sales of approximately $2 billion!

The brand’s name has been featured in chart-topping hit songs by Cardi B, Drake, 21 Savage, Saweetie, The Game, Tyga and Offset and its styles have been worn by many celebrities, artists and athletes including Meg The Stallion, Ice Spice, Chris Brown, Floyd Mayweather, Rick Ross, Kourtney Kardashian, and Kylie Jenner.

ROLE OVERVIEW

Reporting to the Post-Production Manager, the Freelance Photo Retoucher is responsible for editing a high volume of eCommerce product images, shot daily in our photo studio. You will oversee retouching complex and demanding editorial fashion campaign photography. Your expertise will be instrumental in the company exceeding the expectations of our customers and ensure our products are represented accurately. As a color specialist, you will also be responsible for ensuring color accuracy and consistency across digital and print media, performing advanced color swapping, balancing tones, and maintaining calibrated workflows in collaboration with photographers and production teams. An eye for detail, deep understanding of color theory, and 
proficiency in industry-standard software like Adobe Photoshop.

RESPONSIBILITIES

• Retouch and upload product photography images
• Manipulate, adjust, and swap colors on products while maintaining natural texture, shadows, and lighting integrity
• Create multiple color variants of a single product image as needed for product lines or promotional use.
• Match product images to physical color samples and style guides for  visual consistency across channels.
• Name and maintain digital asset file|structure organization
• Crop digital photographic images|maintain file size specification guidelines
• Ensure color consistency between image assets
• Upload assets to servers in accordance with calendars
• Strong color correction skills, matching images from different cameras
• Perform quality assurance on all images
• Responsible for completion of work to daily and weekly deadlines
• Ability to receive creative direction from the Director, Art and the Director, Creative Services, and make amends where necessary
• Demonstrate initiative and ideas to constantly improve the service of the photography team

ROLE REQUIREMENTS

• Two plus years of experience as a Photo Retoucher in a studio environment, ideally in the Fashion eCommerce industry
• Proven experience in photo retouching and color manipulation, with a strong portfolio demonstrating before-and-after examples
• Strong knowledge of color theory, with the ability to perform color  corrections, adjustments, and creative color grading to enhance product imagery.
• Expertise with Adobe Creative Suite and Photoshop
• Detail oriented, organized, and methodical approach to retouching
• Enthusiasm for exploring new techniques and ideas in pursuit of improving existing workflow
• Knowledge of studio photography and lighting practices, as well as photographic vocabulary and terms.
• Able to have a detail-oriented dialogue about the properties of a given image.
• Passionate about teamwork and team building
• Willingness to embrace giving and receiving critical feedback
• BA degree in Photography or equivalent work experience
• English, additional language(s) an advantage
• Schedule of this position: Monday – Friday | Core business hours | Onsite

BENEFITS

• New State-of-the-art HQ located in Beverly Hills
• Formalized career paths for continued professional growth
• Comprehensive health insurance across Medical, Dental and Vision
• 401k match, with immediate vesting upon eligibility
• Weekly catered lunches & fully-stock kitchen pantry!
• Opportunities to travel for trade shows and vendor meetings
• Summer Fridays Early Departure
• Team bonding events and programs
• Attractive employee discounts!

Fashion Nova, LLC, and subsidiaries thereof, is an Equal Opportunity Employer. We are steadfast in our commitment to equal employment opportunities and pledge that these objectives are reflected in all aspects of our daily operations. We will continue to recruit, hire, train, and advance in employment qualified individuals in all job titles without regard to race, color, national origin, gender, sexual orientation, gender identity, religion, age, status as a protected veteran, criminal history, or status as an individual with a disability; and shall not discriminate against any individual, any such characteristic, nor any other classification protected by local, state and|or federal law.

ABOUT THE JOB

The ACLU seeks applicants for the full-time position of Data Scientist II, Natural Language Processing (NLP) Specialist in the Analytics Division of the Technology Department of the ACLU’s National office in New York, NY, San Francisco, CA, or Washington, DC. This is a hybrid role that has in-office requirements of two (2) days per week or eight (8) days per month. 

The ACLU Technology Department is a broad umbrella covering both the ACLU’s Analytics and its Product & Engineering teams, two robust and innovative divisions that power the work of the ACLU. The department provides trusted, dependable, and impactful analytics, engineering, as well as product management and product design expertise for the ACLU. In partnership with experts across the ACLU, the Technology Team delivers best-in-class solutions, services, and innovation that advance the ACLU mission and organizational priorities. The tech team strives to ensure the ACLU leads by example in the ethical use of technology by ensuring privacy and security standards are maintained, directional insights are used to inform programming and business strategy, best-in-class products are designed to get the ACLU message out into the world and grow the ACLU supporter base, as well as to help steward high standards for algorithmic fairness, accountability, and transparency.  

The Analytics division includes analysts, data scientists, survey experts, social scientists, and analytics engineers that support evidence-based decision making and bring quantitative insights on our issues to the courtroom and the public. 

This position is part of a collective bargaining unit. It is represented by ACLU Staff United (ASU).

WHAT YOU'LL DO 

Reporting to the Data Science Manager — Algorithmic Justice Specialist and collaborating closely with our DevOps Engineering Team, Product Manager for Discovery, and Algorithmic Justice Fellow, the Data Scientist II, NLP Specialist, will support development and evaluation work for high-priority, carefully scoped projects using NLP to support the ACLU’s mission. In this role, the NLP Specialist will be responsible for evaluating proposed uses of generative AI and non-generative natural language AI systems, providing recommendations on whether AI tooling is appropriate or ill-suited for various tasks, and when appropriate, contributing to the development and implementation of AI-based solutions to support the organization’s mission.  

YOUR DAY TO DAY

• Work with various teams and departments to evaluate proposed AI use cases for feasibility and alignment with ACLU values and requirements related to privacy, security, transparency, bias, and environmental impacts  
• Provide recommendations to department and organizational leaders on whether AI tooling is appropriate or ill-suited for various tasks and use cases 
• Develop recommendations and architecture plans for intentional, carefully crafted uses of NLP tooling, appropriately selecting generative or non-generative AI systems and related guardrails and monitoring based on the context and requirements of the use case 
• Contribute to the development and implementation of AI-based solutions when appropriate, collaborating with various departments to ensure successful design, deployment, and continuous evaluation of such systems 
• Contribute to the establishment of AI governance practices and standards in collaboration with colleagues across the organization 
• Contribute to the development of context-specific, high-quality benchmarks for language modelling systems tailored for civil rights and public interest organizations 
• Contribute to various other projects supporting the ACLU’s litigation and policy work by applying natural language processing methods to policy or regulatory text data  
• When relevant, collaborate with academic and civil society researchers to turn your learnings and insights into resources to benefit other public interest organizations 
• Brief departmental leadership on relevant AI research and developments and prepare materials for senior leaders’ speaking engagements on AI issues 
• Communicate to non-technical audiences—including ACLU lawyers, policy advocates, and other staff—details of how large language models (LLMs) and small language models (SLMs) are designed and deployed, including their civil rights implications 
• Implement tooling to estimate the environmental impact of deployed AI systems 
• Stay abreast of important developments in the generative AI research and development space 

FUTURE ACLU'ERS WILL 

• Be committed to advancing the mission of the ACLU
• Center and embed the principles of equity, inclusion and belonging in their work by demonstrating commitment to diversity with an approach that respects and values multiple perspectives
• Be committed to work collaboratively and respectfully toward resolving obstacles and conflicts

WHAT YOU'LL BRING

• Substantial research or professional experience on issues related to fairness, accountability, and transparency of artificial intelligence (AI) systems, especially generative AI systems 
• Substantial expertise and training in the field of natural language processing, including experience conducting statistical analyses with text data, evaluating and implementing machine learning methods for text data, and strong understanding of text representation techniques 
• Strong familiarity with language modeling and natural language techniques, including strong understanding of the core concept underlying the design of small language models (SLMs) and large language models (LLMs)  
• Substantial experience writing code in Python and working with open-source NLP libraries such as transformers and NLTK 
• Substantial experience working with text data from legal, policy, and social science contexts, such as legal filings, statutes, and regulations 
• Familiarity with the core concepts underlying multi-modal (e.g., text-to-speech, text-to-video, etc.) generative AI systems and experience working with multi-modal datasets 
• Familiarity with popular approaches and frameworks for monitoring and evaluating AI-enabled systems, especially generative AI systems 
• Professional or research experience developing software and strong familiarity with common software engineering practices such as version control, testing, and code reviews 
• Experience developing documentation of technical products and systems tailored to both technical and non-technical audiences 
• Experience working with cloud services (e.g. Amazon Web Services, Azure) a nice to have 
• Excellent communication skills, including the ability to communicate complex technical concepts clearly to technologists without NLP expertise and non-technical stakeholders 
• Excellent project management and collaboration skills, with a track record of partnering with cross-functional teams to translate organizational needs into technical solutions 

COMPENSATION

WHY THE ACLU

For over 100 years, the ACLU has worked to defend and preserve the individual rights and liberties guaranteed by the Constitution and laws of the United States. Whether it’s ending mass incarceration, achieving full equality for the LGBTQ+ community, establishing new privacy protections for our digital age, or preserving the right to vote or the right to have an abortion, the ACLU takes up the toughest civil liberties cases and issues to defend all people.

We know that great people make a great organization. We value our people and know that what we offer is essential not just their work, but to their overall well-being. 

At the ACLU, we offer a broad range of benefits, which include:

• Time away to focus on the things that matter with a generous paid time-off policy
• Focus on your well-being with comprehensive healthcare benefits (including medical, dental and vision coverage, parental leave, gender affirming care & fertility treatment)
• Plan for your retirement with 401k plan and employer match
• We support employee growth and development through annual professional development funds, internal professional development programs and workshops

OUR COMMITMENT TO ACCESSIBILITY, EQUITY, DIVERSITY & INCLUSION

Accessibility, equity, diversity and inclusion are core values of the ACLU and central to our work to advance liberty, equality, and justice for all. For us diversity, equity, accessibility, and inclusion are not just check-the-box activities, but a chance for us to make long-term meaningful change.  We are a community committed to learning and growth, humility and grace, transparency and accountability. We believe in a collective responsibility to create a culture of belonging for all people within our organization – one that respects and embraces difference; treats everyone equitably; and empowers our colleagues to do the best work possible. We are as committed to anti-oppression, anti-ableism, and anti-racism internally as we are externally. Because whether we’re in the courts or in the office, we believe ‘We the People’ means all of us.

With this commitment in mind, we strongly encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, veteran status and record of arrest or conviction, or any other characteristic protected by applicable law.    

The ACLU is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and need assistance applying online, please email benefits.hrdept@aclu.org. If you are selected for an interview, you will receive additional information regarding how to request an accommodation for the interview process.

The Department of Education has determined that employment in this position at the ACLU does not qualify for the Public Service Loan Forgiveness Program. 

The Baseball Data Platform team is seeking an Associate Software Engineer. From Statcast to ABS and beyond, the Baseball Data Platform is the bedrock of all Major League Baseball stats. Used by fans, broadcasters, stadiums, MLB Clubs, and across the league, if you’ve seen a data point about baseball, there's a good chance it started here.

We are seeking software engineers who possess a strong passion for developing new technologies within the baseball industry. This position provides the opportunity to collaborate with world-class engineers, product developers, and designers; contribute to acclaimed and sophisticated applications and systems; influence the innovation of products utilized by millions globally; and work within a highly collaborative, results-oriented team environment.

Responsibilities

Coding

• Write clean, concise, modular code that is easily testable
• Contribute to the Baseball Data API layer that powers baseball stats across the organization
• Design and build consistent, easy to use UIs, working with our operations partners to ensure their needs are met
• Utilize and contribute to applications deployed on Google Cloud Platform (GCP) and at edge inside ballparks

Collaboration

• Participate in an agile environment.
• Participate in the full software development lifecycle (requirements gathering, designing, building, testing and maintenance)
• Collaborate with other engineers in code reviews, pair programming, and design sessions

Technology

• Drive innovation in products utilized by millions globally
• Collaborate with leading data scientists on areas such as data analysis, machine vision, and Natural Language Processing (NLP)
• Introduce and champion technologies you are passionate about
• Develop technology used by all 30 Major League teams, every national and regional broadcast, and across the MLB organization
• Change the way baseball is consumed

Qualifications & Skills

• An undergraduate degree computer science or related field
• An avid learner, independent with excellent problem-solving skills
• Willingness to dive into any part of the system to understand and deliver the best solution
• Eager to learn new technologies and tools
• Ability to collaborate with other engineers
• Experience with modern web technologies (React, TypeScript, NodeJS)
• Experience designing or consuming APIs that serve frontend applications (Java, Spring, SQL, NestJS)
• Familiarity with Terraform
• Exposure to Google Cloud Platform
• Familiar with messaging queues: ActiveMQ, Kafka
• Familiarity with SQL databases like Postgres and SQL concepts
• Knowledge of big data concepts and related languages/tools, such as BigQuery or Bigtable

Salary Range: $90,000 - $120,000 (Base Salary + Bonus)

As a candidate for this position, your salary and related aspects of compensation will be contingent upon your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees.

Top MLB Perks & Benefits

• Competitive Benefits Package
• Company 401K Contribution
• Paid Time Off and Holidays
• Paid Parental Leave
• Access to Free Tickets to Baseball Games & MLB.TV
• Discounts at MLB Store | MLBShop.com
• Employee Assistance Programs (EAP)
• Onsite/Online Training & Development Programs
• Tuition Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Pet Insurance

Location: San Jose, California (Hybrid)
Annual salary: USD 160,000– USD 195,000
Type: Full-Time
Reports to: Chief of Staff

About the Role

At Nex, we believe that how we grow is just as important as how fast we grow. As People Director, you’ll be the architect behind that growth — helping us nurture great leaders, empower our teams, and scale our culture with intention.

You’ll partner closely with our U.S. leadership team (and later Canada and the U.K.), strengthening how we lead, develop, and connect. This role calls for someone who thrives at the intersection of strategy, empathy, and action — a person who sees the unseen in teams, brings out potential in others, and knows that culture isn’t a buzzword but a daily practice.

This isn’t a systems‑builder role — it’s a capability‑builder role. You’ll spend your days helping people make better decisions, shaping thoughtful leadership habits, and keeping the human heartbeat of Nex strong as we scale across time zones and stages of growth.

What You’ll Do

• Be a trusted strategic partner. You’ll work shoulder‑to‑shoulder with executives and managers to design teams, make brave talent decisions, and navigate the gray areas—performance conversations, restructures, or organizational pivots—with empathy, fairness, and confidence.
• Coach and develop leaders. You’ll create experiences that grow people—manager training, feedback frameworks, leadership workshops, and one‑on‑one coaching that helps our teams stretch, learn, and step into bigger versions of themselves.
• Design how growth happens. You’ll own Nex’s global approach to Learning & Development. From building clear career pathways to shaping how performance conversations feel, you’ll ensure every employee knows where they stand and where they can go next.
• Shape and protect our culture. As we scale, you’ll help weave connection, inclusion, and belonging into every corner of Nex. You’ll look out for the subtle shifts that hint at culture drift and help us realign—keeping Nex a place where people feel seen, supported, and proud to contribute.
• Build what’s next. You’ll start as a high‑impact individual contributor, hands‑on and strategic. As we grow, you’ll hire and lead a small team of exceptional People professionals focused on learning, leadership, and employee experience.

What You Won’t Own (But Will Partner On)

Clarity is kind to everyone, so here’s what lives elsewhere:

• People Ops Manager owns systems, data, benefits, compliance, documentation, and the mechanics of cyclical programs like reviews and surveys.
• You’ll partner with People Ops on performance philosophy, onboarding content, and employee experience initiatives—you bring the why and what, they ensure the how runs smoothly.
• Talent Acquisition owns recruiting and hiring operations.
• You’ll partner with TA on senior hiring, interview training for managers, and workforce planning to align great talent with business growth.

You Might Be a Great Fit If You

• Are the kind of business partner leaders seek out—not just for answers, but for perspective.
• Love helping people grow and have a track record of creating real, behavioral change through your coaching or programs.
• Are energized by ambiguity and can read the room—balancing empathy, honesty, and strategic clarity.
• Lead with both heart and backbone. You build trust quickly because you listen deeply and communicate with respect and candor.
• Understand how to build community and momentum across distributed, remote‑first teams.
• Align to Nex's values. You resonate with the culture we're building—read "The Language We Use," "The Promises We Made," and "The Differences We Leverage" to understand what we stand for.

Your Background

• 10–12 years of progressive experience in People/HR, with meaningful depth in HR Business Partnering and Learning & Development.
• Proven experience advising senior leaders and shaping leadership strategy, not just supporting execution.
• Comfort working in fast‑growing environments (from ~100 to 200+ employees) and seeing around corners as the company evolves.
• Global or multi‑country experience is a plus—you know how to scale people practices across cultures.

Bonus Points For

• Experience in an IPO or late‑stage growth environment.
• Background in tech, gaming, or consumer product organizations.
• Formal training or certification in coaching, facilitation, or organizational development.
• Lessons learned from a startup that didn’t go as planned—and what that taught you about resilience and leadership.

#LI-Hybrid

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into new technologies for biomolecular design. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering. You should be a self-directed researcher who has the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain. 

As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.

Responsibilities

• Design and develop state-of-the-art deep learning methods for protein sequence, structure, and function prediction and apply them to protein design
• Curate relevant datasets and design tasks for rigorous evaluation of generative models 
• Collaborate with Biology team to design and characterize novel designed biomolecules
• Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings
• Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company

Qualifications

• PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field
• Experience with conceiving of, implementing, and evaluating novel machine learning techniques
• Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS)
• Experience with modern deep learning frameworks such as Pytorch or Jax

Preferences (but not required)

• Familiarity with foundational biology of proteins and nucleic acids
• Experience developing machine learning models for proteins (language models, structure prediction, design)
• Previous experience in data extraction and curation from bioinformatics data sources
• Familiarity with wet lab experimental assays and associated limitations
• Experience with cloud compute platforms (GCP, AWS, Azure)

What We Offer

• High-growth opportunity with meaningful impact on the future of protein design
• Competitive compensation package with equity participation
• 401(k) with a strong employer match
• Comprehensive benefits including health/dental/vision insurance
• Generous PTO policy and commitment to work-life balance
• Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.

Employment Eligibility Verification

Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.

About the Role

Join our Data Platform team at 10x Genomics to architect and implement our strategic Unified Data Platform (UDP). This pivotal role is focused on modernizing our data infrastructure, transitioning to a scalable Event-Driven Architecture (EDA), and building the foundation for next-generation AI/ML and self-service analytics.

• Lead the architecture and delivery of the Single Source of Truth (SSOT) for the 10x Intelligent Data Ecosystem.
• Apply advanced software engineering practices to data systems for scalability and reliability.
• Provide hands-on Senior Data Engineering leadership in developing scalable and maintainable ETL/ELT solutions and data systems in a cloud-native environment.
• Drive the systematic reduction of critical technical debt by retiring fragile legacy middleware (e.g., Boomi).
• Partner with engineering and business teams to enable advanced AI capabilities and democratize data access via Natural Language Querying (NLQ).

What you will be doing

• Architect and implement the canonical data layer and Event-Driven Architecture (EDA) using technologies like Apache Iceberg and Kafka to decouple applications and ensure real-time data flow.
• Design, build, and optimize high-volume, code-first data pipelines (real-time and batch) across a large application landscape (e.g., Salesforce, Oracle, Workday).
• Establish Amazon S3 as the Single Source of Truth (SSOT) and govern data using principles like the Medallion Architecture (Silver and Gold layers) and schema evolution.
• Develop, test, and maintain robust and scalable ELT pipelines and data models in Snowflake, including leveraging advanced features like Snowpipes, Streams, and Stored Procedures.
• Develop the data presentation layer for self-service analytics, including the Natural Language Query (NLQ) interface integrated with Generative AI (e.g., Bedrock).
• Lead technical efforts to migrate key business domains off legacy middleware and onto the new platform, eliminating the "Integration Bottleneck".
• Define and enforce data governance, quality, and security standards across the Unified Data Platform.
• Collaborate with the Architecture Review Board (ARB) to promote modern approaches such as serverless computing and Domain-Driven Design.
• Take ownership of the full development lifecycle, from prototyping and design through deployment, monitoring, and operational excellence.

Minimum Requirements

• Bachelor’s degree in Computer Science, Information Management, or a related field, or equivalent experience.
• 5+ years of hands-on experience in software engineering focused on data platform development, distributed systems, or enterprise integrations.
• Proven experience designing and implementing highly scalable data platforms on major cloud environments (e.g., AWS, GCP, or Azure).
• Deep proficiency in one or more general-purpose programming languages (e.g., Python, Java, or similar).
• Strong foundation in computer science fundamentals, including data structures, algorithms, and system design.

Preferred Skills and Experience

• Expertise in message queues and event streaming platforms (e.g., Kafka, RabbitMQ, Pub/Sub) and implementing Event-Driven Architecture.
• Experience with building data lakes/lakehouses using open formats like Apache Iceberg on cloud storage (e.g., Amazon S3).
• Expertise in modern ELT development, data modeling for OLAP/data warehousing using tools like dbt, and advanced Snowflake features (e.g., Snowpipes, Streams, Stored Procedures).
• Familiarity with containerization (Docker, Kubernetes) and Infrastructure-as-Code (IaC) principles.
• Prior experience in migrating an organization off a traditional iPaaS platform or eliminating legacy middleware.
• Experience with Generative AI integration for data access (e.g., NLQ, feature stores).

Core Technologies

• Snowflake
• Python (or Java/Scala)
• Event Streaming (Kafka or similar)
• AWS (or other major cloud platform)
• Apache Iceberg / Amazon S3
• Advanced SQL (including stored procedures, UDFs/UDTFs)
• Modern Orchestration tools (e.g., Airflow)

About the Job

At BuildOps, we’re building a groundbreaking software solution designed to empower today’s commercial contractors. From service management to project execution, we’re reimagining how our customers operate. Our team thrives on ambition, innovation, and collaboration—qualities we look for in every new hire.

As our Founding Engineer, Agentic Business Transformation, you will embed directly within business functions across the organization, deeply understand how teams operate today, and fundamentally reimagine how they should operate tomorrow. This is not about bolting automation onto existing processes; it's about redesigning how work gets done with agentic tooling transforming (and eliminating) workflows. You will partner with leaders across GTM and G&A to surface high-impact opportunities, architect intelligent solutions, and deliver measurable gains in productivity, output quality, and the experiences we deliver to our customers and employees. You will define what "AI-native operations" looks like inside a high-growth B2B SaaS company—well before most companies have even started asking the question. This is a high visibility role and will involve daily contact with the CEO, Chief of Staff, Chief Revenue Officer, and other members of the BuildOps Executive Leadership Team (ELT). 

ROLES AND RESPONSIBILITIES 

• Embed within internal business functions, including Revenue, RevOps, Customer Success, Customer Support, Finance, People, and Talent, to develop a deep, firsthand understanding of current workflows, pain points, and decision-making processes 
• Conduct structured discovery, shadowing teams, interviewing stakeholders, and mapping end-to-end processes, to identify where AI can eliminate, redesign, or dramatically accelerate work 
• Reimagine workflows from first principles rather than automating existing steps; challenge assumptions about what requires human involvement and what doesn't 
• Design, build, and deploy AI-powered automations, agents, and internal tools that reduce time spent on repetitive, low-value-add tasks while improving the quality and consistency of outputs 
• Integrate large language models, agentic frameworks, and automation platforms into production-grade internal workflows with appropriate guardrails, error handling, and human-in-the-loop checkpoints 
• Measure everything: establish baselines before intervention, track adoption and usage patterns post-deployment, and quantify productivity impact in terms of hours saved, error rates reduced, and cycle times compressed 
• Serve as a trusted advisor to functional leaders on what AI can and cannot do for their teams; translate business problems into technical solutions and technical constraints into business language 
• Stay abreast of the rapidly evolving AI tooling landscape (e.g., LLM capabilities, orchestration frameworks, RPA-to-AI convergence, no-code/low-code platforms) and calibrate our internal stack accordingly 
• Build reusable patterns, templates, and playbooks so that successful automations in one function can be adapted and scaled across others 
• Collaborate closely with the engineering and product organizations to ensure internal automation efforts align with our broader technology strategy and do not create shadow IT risk 

QUALIFICATIONS 

• 5+ years of professional experience building automations, intelligent workflows, or AI-powered solutions in a business context—whether that foundation was in robotic process automation, software engineering, solutions engineering, or applied AI 
• Demonstrated ability to work directly with non-technical business teams: you have spent meaningful time understanding how people actually work before designing what to build 
• Hands-on experience with modern AI tooling, including large language models (e.g., Claude, GPT), prompt engineering, and at least one orchestration or agentic framework (e.g., LangChain, CrewAI, n8n, or similar) 
• Strong scripting and integration skills with the ability to connect APIs, build data pipelines, and stand up end-to-end workflows in production—not just prototypes
• Track record of automating processes that previously required human judgment—not just rules-based tasks, but work involving unstructured data, natural language inputs, or contextual decision-making
• Process-oriented mindset: you naturally decompose complex workflows into discrete steps, identify bottlenecks, and think in terms of inputs, outputs, and handoffs
• Comfort operating with high autonomy in a fast-moving environment; you don't wait to be told what to build — you go find the highest-leverage problem and propose a solution
• Excellent communication skills: you can present a business case to the CEO, C-suite executives, or VPs, run a discovery session with an ops team, and write clear documentation for a workflow you've built
• Experience in B2B SaaS, vertical software, or a similarly complex operational environment is a strong plus
• Familiarity with process mining, workflow analytics, or structured methodologies for identifying automation candidates (e.g., lean, six sigma, or consulting-style process improvement) is a plus

COMPENSATION

• [$188,000 to $273,000 base] + bonus opportunity (LA or SF Hub)

Location: Mountain View, CA
Commitment: On-site
Duration: 12 weeks starting in 2026
Conversion Opportunity: High-performing interns will be evaluated for full-time offers

About the Program

We're launching our 2026 Engineering Internship Program, a fast-paced, high-impact opportunity designed for aspiring engineers who want to build real products, ship meaningful features, and accelerate their path into a full-time role. Over the course of 12 weeks, you’ll work closely with experienced engineers, gain hands-on mentorship, contribute directly to production systems, and help solve real challenges across NewsBreak's ecosystem. This is a paid, on-site internship based in our Mountain View headquarters. Top-performing interns will be considered for full-time offers at the conclusion of the program.

Highlighted Projects：

You will be matched to a team based on skills, interests, and business needs. Sample projects include:

MSP Monetization – Mountain View, CA

MSP is our next-generation, AI-powered monetization platform that empowers publishers to unlock their full revenue potential with unmatched transparency and control. It combines intelligent optimization, real-time insights, and seamless ad management to help publishers confidently scale their business and maximize long-term growth.

Newsletter Systems – Mountain View, CA

Aigeon.ai is an exciting new product built by NewsBreak, the leading platform for local news and information serving tens of millions of users across the United States. Aigeon is reimagining the newsletter and content-monetization space via AI: simplifying creation, audience growth, and monetization of newsletters for content creators and small media brands. 

NBot – Mountain View, CA

Drive the optimization of conversational experiences that power our next-generation news recommendation engine, enabling more personalized, intuitive, and intelligent user interactions.

AI Initiatives – Mountain View, CA

This initiative explores cutting-edge NLP, generative AI, and multimodal technologies to power the next generation of content intelligence. The project includes building AI-driven content generation capabilities that significantly expand the content supply while enhancing accuracy, quality, and user relevance. The goal is to create scalable AI systems that deliver meaningful impact to tens of millions of NewsBreak users.

Foundational Requirements:

• Currently in the final semester of a Master’s or PhD program in Computer Science (or a closely related field), or recently graduated from a top-tier university.
• Strong proficiency in at least one major programming language (e.g., Python, Java, C++, Go).

Preferred Qualifications:

• Coursework, academic research, or hands-on projects in Machine Learning, Artificial Intelligence, NLP, Recommendation Systems, or Large Language Models
• Experience using ML frameworks and tools (e.g., PyTorch, TensorFlow, scikit-learn)
• Familiarity with data pipelines, model training, or evaluating ML models
• Prior internships or project experience involving ML-powered features, AI agents, or AIGC systems

We’re seeking builders with diverse technical backgrounds, whether you’re a full stack engineer, machine learning engineer, or mobile engineer, who are excited to solve real problems with cutting-edge AI technologies. If you’re passionate about the latest advancements in AI, have built your own apps or projects, or naturally think with an entrepreneurial, ownership-driven mindset, you’ll thrive in this program. We value candidates who are curious, hands-on, and eager to turn ideas into impact.

Hourly Pay for internship: $40-$50

Persons in these roles are welcome to work remotely from Berkeley, CA.

Compensation: $159,650

Who You Are:

Ai2 is seeking talented and motivated Postdoctoral Young Investigator to join the FlexOlmo team, working on a series of large language models designed for flexible data use, with a focus on Mixture-of-Experts (MoE), long-context language models (LCLMs), and retrieval. Postdoctoral Young Investigators will be based in Berkeley, California.

This opportunity offers a unique opportunity to contribute to cutting-edge research in natural language processing and machine learning in an exciting, fast-paced research environment. You have the opportunity to:

• Define and lead a high-impact research project.
• Train and release leading models.
• Collaborate with and learn from team members across Ai2.
• Build open-source software for the research community.
• Author scientific papers for publication in a high-profile conference or journal.

The Young Investigator position:

• Duration: 1-3 years
• Start date: Flexible
• Candidates: Are within one year of completing their PhD, or already have a PhD
• The Allen AI Young Investigator is a postdoctoral program offering unique benefits. The program will enable you to balance working collaboratively on an Ai2 project while having opportunities to mentor junior researchers.

Who We Are: 

We design 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.

We lead the FlexOlmo project, whose 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:

Why FlexOlmo? We are building the foundation for research into the next generation of language models designed for flexible data use. 

• FlexOlmo is a small, tightly knit team, giving you the unique opportunity to work closely with team members toward one high-impact project.
• We encourage open collaboration projects, even with researchers at external institutions. Team member will be based in Berkeley, with opportunities to engage actively with the University of California, Berkeley, and the BAIR lab. 
• Our pay is competitive, and visa sponsorship is available. 
• We are committed to open science and support students freely publishing papers, as exemplified by our first release: FlexOlmo: Open Language Models for Flexible Data Use.

The essential functions include, but are not limited to the following:

• Dedicated Ai2 mentor who is also a faculty member at the University of California, Berkeley.
• 50% work on leading and collaborating on an Ai2 project as an independent contributor (IC).
• 50% work on mentoring junior researchers (PhD students/interns, predoctoral students/interns) as well as opportunities to receive mentorship in academic activities such as grant writing and teaching, if desired.

What You’ll Need:

Qualifications:

• Are within one year of completing their PhD, or already have a PhD, in Computer Science or similar field with research experience in machine learning, natural language processing, language and vision, or related areas. 
• Outstanding individual contributor (IC) skills, especially with deep learning frameworks (e.g. PyTorch).
• An outstanding publication record at AI-related venues, such as NeurIPS, ICLR, ICML, COLM, ACL, EMNLP. We will specifically evaluate the quality of publications in terms of rigor and impact, not the quantity.
• Extensive research experience in areas such as large language models, training dynamics, scaling laws, and data curation. Experience with mixture-of-experts, long-context language models, and retrieval is preferred but not required.
• Located [or willing to relocate] in Berkeley, CA.

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.

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.