Position Summary 

Come join a growth engine as a leader in our Data & AI Practice! Inizio Advisory & Putnam Associates continue to advance our Commercial Life Sciences Data, Analytics and AI Team and Solutions.  We are looking for an experienced innovator and senior leader to join Data Strategy, Analytics and AI Practice.   

The Advanced Data Analytics Lead role within the Data Strategy, Analytics and AI team will be responsible for advising clients on business strategy through data-driven decision-making, leading project teams, and developing innovative solutions to complex business challenges through data and AI. The ideal candidate should have a deep understanding of Pharmaceutical commercial business strategies, project management, and a proven problem-solving capability through data strategies, technology, and emerging AI/GenAI solutions.  

This leadership role is responsible for independently driving client and business development at the company.  They must effectively identify potential client engagements, qualify leads and drive the business development process.  They will write and submit project proposals, develop and deliver capability presentations, and respond to prospective client needs.  They are responsible for developing intellectual thought leadership for the company and for developing and enhancing practice areas within the firm.    

They are also responsible for building and enhancing existing Pharma client relationships and for overseeing the delivery of Data Strategy/Analytics/AI projects, managing a global team of data scientists and business analysts to support and deliver client projects.  

In addition to Putnam growth, this is a broader opportunity to support growth within the Inizio Advisory companies to collaborate and work with other teams, as the Data Analytics & Strategy practice evolves to support the industry and our clients’ needs.  

Holistic view of responsibilities and measurements of success:  

• Extensive project work planning and client interaction and management.   

• Leadership effectiveness through team management effectiveness, coaching and mentoring, participation in positive firm culture building, practice area development contributions, and general firm development contributions   

• Development of key insights from all workstreams and translation of those insights into a compelling storyline and presentation   

• Proposal development and revenue generation   

• Participation in industry thought leadership  

• Establish clearer resourcing method and process for the team for scale  

• Support the evolution of our hiring strategy for team based on expected future client work (e.g. growth of claims analytics offerings, commercial analytics, AI/GenAI solutions, and other growth areas accordingly.  

Desired Skills & Experience   

• Experience in Life Sciences data analytics (minimum of 10 years) and consulting  

• Working knowledge of pharmaceutical data sets such as: claims data, prescription data, lab data, change/content data, engagement and experience data  

• Experience in data visualization tools (e.g., Tableau, PowerBI, Qlik Sense)  

• Experience in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data)  

• Practical application of AI/ML/NLP use cases in the Life Sciences business (e.g, NBE, patient-finding, content generation, or other relevant cases)  

• A GenAI pioneer, with experience of LLMs in Pharma (e.g. generative writing, content, predictive models OR other) and ability to apply to daily work to promote adoption across Putnam  

• Extensive experience in project work planning and client management. (insert min years needed)  

• A successful history of people and team management through mentorship, knowledge sharing, and leadership.   

• Development of key insights from all workstreams and translation of those insights into a compelling storyline and presentation   

• Proposal development  

• Participation in industry thought leadership  

Compensation & Benefits  

• Industry competitive total rewards programs [salary and bonus packages]  

• Exceptional senior partner mentorship, leadership training and career development support  

• Industry competitive benefits [paid time off, 401k, health insurance]  

• Hybrid working model - this role can be based out of our NYC office or Boston office 

Company Description

Inizio Ignite, Putnam 

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Putnam strategy consulting team bridges science and strategy to enable confident decision-making and build value for pharma. We partner with leading health and life science companies serving brand & commercial leaders, Medical Affairs, access & pricing, and R&D.  Our expertise spans offerings including therapeutic area strategy, data & AI strategy, go-to-market strategy, commercialization & growth, value, pricing & access (VPA) strategy, and evidence generation. Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward.

We believe that to create real, lasting change on human health, we must bring out the best in our people, in every way and at every level. We offer a boutique-firm feel inside a global enterprise, opening the door to limitless opportunities to kickstart your career or hone your expertise. Built on the pillars of empowerment, collaboration, and meaning, we’re proud to offer a fulfilling environment where world-class advisors can come together to shape the future of healthcare for the better.

Serving the life sciences industry, including the top 20 global biopharmaceutical companies, consistently ranked as one of the top consulting firms by Vault, and maintaining a true global team of experts sitting across 3 continents, we offer a unique opportunity to play a central role in supporting our clients.

Diversity, equity, and inclusion are tenets of our core values. We strive to create a culture and environment that fosters belonging and authenticity across all levels and values individuals for their skills, experience, diverse backgrounds, and unique perspectives. Collectively, DEI serves as a foundational element of who we are and how we work with our clients and with each other.

Our core values:

• Team
• Excellence
• Strategic
• Passion
• Diversity

This is an Equal Employment Opportunity

Please note that Putnam Associates is in no way affiliated with Putnam Investments and that this is not a finance opportunity.

We are looking for a Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.

As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.

This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.

The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.

What You’ll Do:

Team Leadership & Development

• Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
• Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
• Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
• Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
• Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
  
  

Strategic Customer Support

• Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
• Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
• Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
• Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.

Technical & Cross-Functional Operations

• Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
• Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
•  Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
• Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
• Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.

Key Metrics:

• Customer Satisfaction (CSAT) for strategic accounts
• Time to Response and Resolution (TTR) for strategic customers
• Tier 1 resolution rate vs. escalation rate
• Time-to-escalation and engineering handoff SLA adherence
• SLA adherence and escalation response times
• Support productivity and quality (QA scores)
• Post-incident documentation completion rate

What You’ll Add to DigitalOcean:

• Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
• Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
• Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
• Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
• Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
• Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.

Preferred Qualifications:

• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
• Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• ITIL or equivalent service management certification

Compensation Range: 

• $125,000 - $153,000

*This is a remote role

JR: 2026-7692

#LI-Remote

We want people who are passionate about helping our customers and partners realize the benefits of DigitalOcean’s cloud infrastructure.

DigitalOcean is at a pivotal moment where the intersection of high-performance hardware and cloud accessibility is defining the next decade of innovation. We aren’t just building a cloud; we are building a gateway for the next generation of startups to harness the power of AI and intensive computing. This is your chance to be the architect of our most strategic alliances, sitting at the heart of the Silicon Valley ecosystem to bridge the gap between world-class silicon providers and the builders who use them.

We are looking for a Strategic Relationship Builder to act as our primary envoy to the world’s leading AI-focused System Integrators (SIs) aligned with mid-market and AI Native companies. Reporting to the VP, Channel Partnerships, you will be the lead navigator in embedding DigitalOcean into strategic partnership programs. Your mission is to ensure that as the world scales its data center needs, DigitalOcean is the partner of choice.

What You’ll Do

• Architect strategic alliances with key system integrators, MSPs and resellers partners to ensure DigitalOcean is deeply integrated into their go-to-market ecosystems.
• Navigate complex organizational structures within partner companies to identify and influence the right decision-makers for long-term program placement.
• Translate high-level cloud infrastructure trends into actionable partnership strategies that solve real-world data center and scalability challenges.
• Lead cross-functional workstreams between internal product teams and external partner organizations to deliver co-branded value and technical synergy.
• Drive the execution of partnership milestones by breaking down multi-quarter goals into clear, actionable deliverables that provide mutual value to all stakeholders.
• Collaborate with senior leadership to provide insights on industry trends, ensuring our partnership roadmap stays ahead of market shifts in the data center space.
• Mentor peers and internal teams on partnership best practices, fostering a culture of collaborative excellence across the organization.

What You’ll Add to DigitalOcean

• Technical Breadth: You bring a deep understanding of the cloud and infrastructure industry, specifically regarding data center operations. You have a proven track record of building and managing partnerships with strategic System Integrators, MSPs and Resellers partners.
• The "Human" Element: You are an expert in Relational Intelligence—you can speak the language of engineers and executives alike, building trust and psychological safety across organizational boundaries.
• Growth Mindset: You possess a natural desire to learn, an appetite for feedback, and a "leave it better than you found it" attitude that thrives in a high-performance environment.

Compensation Range: 

• Base $136,000 - $170,000 / OTE target $180,000 - $226,000

*This is a remote role

JR: 2026-7632

#LI-Remote

The opportunity

Datadog’s APM Experiences team owns the core product experience for Application Performance Monitoring — including distributed tracing, service representation, and more. We’re building a new wave of AI-powered capabilities that help customers detect, resolve, and prevent performance issues faster. In this role, you will lead end‑to‑end development of LLM- and Agent‑based features that can:

• Debug and investigate application performance issues down to the root cause, as both a developer assistant and a fully autonomous agent
• Proactively recommend performance and reliability-based optimizations to prevent the next incident
• Automatically create intelligent monitors and SLOs for the most important business flows and critical paths

This is a highly product‑minded engineering role: you’ll work from problem discovery and UX all the way to reliable, scalable production systems.

What you’ll do

• Shape AI experiences for APM. Design and ship LLM/agentic workflows that analyze traces, metrics, logs, and other telemetry to generate diagnoses, explanations, and guided fixes.
• Own the full loop. Prototype quickly, define success metrics and evals, run experiments, iterate, and ultimately productionize for scale and reliability.
• Build robust agent systems. Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths.
• Integrate with Datadog’s platform. Leverage surfaces like Trace Explorer, Service Catalog, monitors, and workflows to deliver end‑to‑end value in the APM UI.
• Partner deeply. Collaborate with PM, Design, and partner teams to build cohesive experiences.
• Raise the bar on engineering. Write performant, maintainable backend code, own services in production, and improve reliability for high‑throughput, low‑latency data systems.

Who you are

Product‑minded engineer who ships AI to production

• 4+ years building backend or real-time ML systems; you value simplicity, correctness, and performance
• Proven experience delivering LLM/agent features to production (prompting, tooling, evals, safety/guardrails)
• Comfortable owning user journeys, iterating from prototype → alpha → GA, and measuring impact with clear product metrics
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Strong ML / applied science fundamentals

• Solid grasp of the ML lifecycle (task definition, dataset collection, modeling, evaluation, deployment, iteration) and statistics (experiment design, confidence intervals)
• Experience choosing/modeling the right technique for the job (e.g., anomaly detection, ranking/recommendation, NLP), and knowing when a heuristic beats a model
• Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions

Distributed systems & observability savvy

• Experience with microservices performance: tracing, latency breakdowns, concurrency, and resiliency patterns
• Proficient in Go, Java, or Python; strong API/service design; production ops (monitoring, alerting, on‑call rotation)

Nice to have

• Hands‑on with distributed tracing stacks (OpenTelemetry/Datadog APM), profilers, and logs/metrics pipelines
• Exposure to planning/agent frameworks, tool‑use orchestration, RAG, and retrieval/indexing for observability data
• Familiarity with SLO/SLA practices and incident response

Benefits and Growth:

• Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.
• Have a lot of influence on product direction and impact on the business.
• Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn.
• Competitive global benefits.
• Continuous professional development.
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation

• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Role: Senior Software Engineer 
Reports to: Sr. Manager, Software Engineering 
Location: Houston, TX; Boston, MA; 

A quick snapshot…
As a Senior Software Engineer at Conga, you will be a key contributor to the design, development, and deployment of advanced AI and generative AI-based products. You will drive technical innovation, lead complex projects, and collaborate closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. This role requires a strong background in software development, AI/ML techniques, and DevOps practices, along with the ability to mentor junior engineers and contribute to strategic technical decisions.

Why it’s a big deal…
As a Senior Software Engineer, you will play a critical role in shaping the future of Conga’s AI-powered product portfolio. You’ll lead the development of scalable, production-grade solutions that bring generative AI capabilities to life, while influencing architecture, engineering best practices, and delivery execution. Your work will directly impact product innovation, platform reliability, and the ability of our teams to build intelligent, high-performing solutions at scale.

Are you the person we’re looking for?   

Related experience.

At least 6 years of professional software development experience, including significant experience building AI/ML or generative AI applications. Demonstrated success developing scalable, production-grade software solutions and leading complex technical initiatives from design through deployment.

Technical Expertise:

• Advanced proficiency in Python, FastAPI, PyTest, Celery, and other Python frameworks
• Deep understanding of software design patterns, object-oriented programming, and concurrency
• Strong experience with cloud technologies such as GCP, AWS, or Azure
• Experience with containerization and orchestration tools such as Docker and Kubernetes
• Familiarity with CI/CD practices, version control systems such as GitHub, and work tracking tools such as JIRA
• Knowledge of generative AI frameworks such as LangChain and LangGraph, along with MLOps and AI lifecycle management
• Experience deploying and monitoring AI models in cloud environments
• Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master’s degree preferred

Education: A bachelor’s degree in Computer Science, Engineering or equivalent 

Here’s what will give you an edge… 

• Hands-on experience with advanced machine learning algorithms, including generative models, NLP, and transformers
• Knowledge of industry-standard AI frameworks such as TensorFlow and PyTorch
• Experience with data preprocessing, model evaluation, and AI model optimization
• Proficiency with relational and NoSQL databases such as MongoDB, MSSQL, and PostgreSQL
• Experience with analytics platforms such as BigQuery, Snowflake, or Tableau
• Familiarity with messaging systems such as Kafka
• Experience with test automation tools and CI/CD tooling, including Terraform and GitHub Actions
• Advanced knowledge of GCP technologies such as Vertex AI, BigQuery, GKE, GCS, and Dataflow, particularly for deploying AI models at scale 

Responsibilities:

• Design, develop, and optimize high-quality code for complex software applications and systems, maintaining high standards of performance, scalability, and maintainability
• Lead end-to-end development of generative AI solutions, from data collection and model training to deployment and optimization
• Experiment with cutting-edge generative AI techniques to enhance product capabilities and performance
• Take ownership of architecture and technical decisions for AI/ML projects
• Mentor junior engineers, review code for adherence to best practices, and promote technical excellence across the team
• Lead execution and delivery of features, managing project scope, timelines, and priorities in collaboration with product managers
• Proactively identify and mitigate risks to support successful, on-time delivery
• Contribute to architectural design and planning for new features, ensuring solutions are scalable, reliable, and maintainable
• Conduct rigorous code reviews and provide actionable feedback that supports team growth and software quality
• Design and implement robust test suites to ensure code quality and system reliability
• Advocate for test automation and CI/CD pipelines to streamline testing and maintain service health
• Monitor and maintain the health of deployed services using telemetry and performance indicators
• Perform root cause analysis for incidents and drive preventive measures to improve system reliability
• Operate in a DevOps model, taking end-to-end ownership of features and services in production
• Create and maintain thorough documentation for code, processes, and technical decisions
• Contribute to knowledge sharing and continuous improvement across the engineering organization

#LI-BR1

About SimpliSafe

SimpliSafe is a leading innovator in the home security industry, dedicated to making every home a safe home. With a mission to provide accessible and comprehensive security solutions, we design and build user-centric products that empower individuals and families to protect what matters most.

We believe in a collaborative and agile environment where learning and growth are continuous. Our teams are composed of talented individuals who are passionate about technology, security, and delivering exceptional customer experiences.

We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday – working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

Why are we hiring?

Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.

About the Role

We are seeking a highly motivated and experienced Machine Learning Scientist to join our growing Engineering team. As a key contributor, you will play a crucial role in developing and implementing cutting-edge machine learning models, with a focus on Computer Vision (CV), Multi-modal Large Language Models (LLMs) and Agentic AI to enhance our products and services.

Responsibilities:

• Develop and fine-tune large language models (LLMs) and vision-language models (VLMs) to address real-world challenges in the home security space
• Work with key stakeholders to identify key research initiatives that can have impact on business outcomes. 
• Take research initiatives from idea generation to production.
• Collaborate with engineers and product managers to integrate capabilities into our existing systems.
• Stay up-to-date on the latest advancements in LLMs, VLMs, and multimodal systems. Evaluate new techniques for potential adoption and improvement of internal capabilities.

Qualifications:

• MS or PhD in Computer Science, Artificial Intelligence, or a related field.
• Experience training or fine-tuning large language models (LLMs) using modern frameworks.
• Strong grasp of deep learning, particularly transformer architectures and foundational model training techniques for text and vision modalities.
• Proficient in Python and relevant ML libraries (e.g., PyTorch, TensorFlow, HuggingFace Transformers).
• Hands-on experience in developing and deploying LLM- or VLM-powered applications.
• Familiarity with prompt engineering, retrieval-augmented generation (RAG), MCP (Model Context Protocol, Agentic AI and evaluation of generative models.
• Understanding of MLOps practices and how to scale experiments into production-grade solutions.
• Strong communication and documentation skills.
• Collaborative mindset with the ability to thrive in a fast-paced, interdisciplinary environment.

Bonus Points:

• Experience with speech recognition, natural language understanding, or natural language generation.
• Publication in posters, conference proceedings, journal articles, workshops etc.
• Familiarity with cloud computing platforms (e.g., AWS, GCP).
• Contributions to open-source NLP, LLM or CV projects.

What Values You’ll Share

• Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
• Aim High - Always challenging ourselves and others to raise the bar.
• No Ego - Maintaining a “no job too small” attitude, and an open, inclusive and humble style.
• One Team - Taking a highly collaborative approach to achieving success.
• Lift As We Climb - Investing in developing others and helping others around us succeed.
• Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.

What We Offer

• A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive  
• A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here)
• Free SimpliSafe system and professional monitoring for your home. 
• Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.

The target annual base pay range for this role is $127,300 to $186,700.

This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees’ job-related skills, experience, qualifications, work location, and other relevant business factors. 

Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here.

We’re committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values.

We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact careers@simplisafe.com.

Your Impact

We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.

What You’ll Do
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)

• US: Seattle, Boston, Scottsdale

Responsibilities

• Own one or more key technical areas across LLM, MLLM, CV product portfolio.
• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
• Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
• Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
• Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
• Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
• Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
• Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
• Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
• Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
• Experience coach and mentor junior scientists.

What You Bring

• PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
• Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
• Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
• Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
• Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Location: This role is based out of our Boston, MA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.

About Liberate:

Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.

Role Overview
The Senior Solutions Engineer will bridge the gap between our product team and client-facing teams. You will be the technical face of Liberate, ensuring seamless integration of our AI solutions into insurer environments. You’ll partner with sales, customer success, and engineering to translate customer requirements into solutions that deliver measurable outcomes.

This is a customer-facing, high-impact role with influence across pre-sales, implementation, and post-sales expansion.

Key Responsibilities

• Pre-Sales Partnering
  
  
• Collaborate with sales and AI deployment to scope insurer requirements and design AI-driven solutions.
• Present Liberate’s technical architecture, security standards, and integration pathways to CIO/CTO/IT stakeholders.
• Build tailored demos and prototypes to illustrate product fit and value.
  
  
• Solution Design & Implementation
  
  
• Assess insurer core systems (policy admin, claims, billing) and design integration paths.
• Lead technical onboarding, including SSO, APIs, and workflow configuration.
• Provide hands-on guidance during deployments to ensure seamless implementation.
  
  
• Customer Advocacy & Expansion
  
  
• Serve as trusted technical advisor, guiding insurers on best practices for AI adoption.
• Identify upsell/cross-sell opportunities for advanced AI agents and APIs.
• Gather customer feedback and relay it to Product for roadmap prioritization.
  
  
• Thought Leadership
  
  
• Represent Liberate at industry events and client workshops.
• Create technical documentation, playbooks, and integration guides for insurers.
  
  

Qualifications

Must Have

• 7–10+ years in solutions architecture, pre-sales engineering, or enterprise technical consulting.
• Strong experience with insurance technology ecosystems (Guidewire, Duck Creek, Majesco, One Inc., Insuresoft, Sapiens, etc.).
• Technical proficiency with APIs, cloud platforms (AWS, Azure, GCP), and data integration.
• Experience leading enterprise implementations with multiple stakeholders across business and IT.
• Strong communication skills—able to translate complex AI/technical concepts to non-technical insurance executives.
• Startup-ready: high ownership, urgency, and adaptability.
  
  

Nice to Have

• Exposure to AI/ML platforms, automation, or NLP technologies.
• Background in high-growth startups or insurtech vendors.

Familiarity with insurance compliance, data security, and regulatory frameworks.

Salary Information: $150,000 to $185,000 base salary (depending on experience and location), plus stock and commission

About Liberate:

Liberate builds AI agents to automate manual tasks for the $2.7T insurance industry. We started with voice — the hardest and most valuable channel in insurance — and are now expanding into full workflow automation across sales, servicing, and claims. Our long-term vision is to build reasoning agents capable of handling the entire spectrum of insurance carrier and broker operations. We've raised $72M to date, including a $50M Series B in October 2025, backed by top-tier venture firms.

Role Overview
The Senior Solutions Engineer will bridge the gap between our product team and client-facing teams. You will be the technical face of Liberate, ensuring seamless integration of our AI solutions into insurer environments. You’ll partner with sales, customer success, and engineering to translate customer requirements into solutions that deliver measurable outcomes.

This is a customer-facing, high-impact role with influence across pre-sales, implementation, and post-sales expansion.

Key Responsibilities

• Pre-Sales Partnering
  
  
• Collaborate with sales and AI deployment to scope insurer requirements and design AI-driven solutions.
• Present Liberate’s technical architecture, security standards, and integration pathways to CIO/CTO/IT stakeholders.
• Build tailored demos and prototypes to illustrate product fit and value.
  
  
• Solution Design & Implementation
  
  
• Assess insurer core systems (policy admin, claims, billing) and design integration paths.
• Lead technical onboarding, including SSO, APIs, and workflow configuration.
• Provide hands-on guidance during deployments to ensure seamless implementation.
  
  
• Customer Advocacy & Expansion
  
  
• Serve as trusted technical advisor, guiding insurers on best practices for AI adoption.
• Identify upsell/cross-sell opportunities for advanced AI agents and APIs.
• Gather customer feedback and relay it to Product for roadmap prioritization.
  
  
• Thought Leadership
  
  
• Represent Liberate at industry events and client workshops.
• Create technical documentation, playbooks, and integration guides for insurers.
  
  

Qualifications

Must Have

• 7–10+ years in solutions architecture, pre-sales engineering, or enterprise technical consulting.
• Strong experience with insurance technology ecosystems (Guidewire, Duck Creek, Majesco, One Inc., Insuresoft, Sapiens, etc.).
• Technical proficiency with APIs, cloud platforms (AWS, Azure, GCP), and data integration.
• Experience leading enterprise implementations with multiple stakeholders across business and IT.
• Strong communication skills—able to translate complex AI/technical concepts to non-technical insurance executives.
• Startup-ready: high ownership, urgency, and adaptability.
  
  

Nice to Have

• Exposure to AI/ML platforms, automation, or NLP technologies.
• Background in high-growth startups or insurtech vendors.
• Familiarity with insurance compliance, data security, and regulatory frameworks.

Salary Information: $150,000 to $185,000 base salary (depending on experience and location), plus stock and commission

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

The Customer Success Data and Analytics (CSDA) team supports Care Operations, Customer Success, Education, and Voice of the Customer. We are building a new generation of data products that extract structured, actionable insight from unstructured customer interactions using NLP, ML, and LLM-based approaches.

As the Principal Data Product Manager, Applied AI, you will own the agenda for how AI-enriched data improves our understanding of the customer experience. You will prototype, validate, and scale a portfolio of AI-powered data products that give our CS organization insight it has never had before. You will also serve as a resource and thought partner for teammates and other teams across Toast who are working with CS data in an AI context, helping make that work faster, more consistent, and more reliable.

This is a hands-on, high-ownership role. You will spend time in Snowflake and Hex building things, and you will spend time with CS leaders explaining what those things mean and why they matter. The right person for this role is equally comfortable doing both.

A Day in the Life (Responsibilities)

Enablement and Shared Practice

• Technical Resource: Serve as the go-to resource on applied AI and NLP with CS data for your CSDA teammates and other teams across Toast.
• Best Practices: Build and maintain a practical library of guidance regarding successful prompts, pitfalls to watch for, and how to structure CS data for AI use cases.
• Market Intelligence: Stay current on how CS data is being used with AI tools across the organization to keep CSDA ahead of the curve.
• Facilitation: Act as a facilitator for AI prototyping work, helping analysts and stakeholders structure experiments so outputs are reliable and usable.

Applied AI and ML Product Development

• Portfolio Ownership: Drive an active portfolio of prototyping work focused on enriching the CSDA data model with insight extracted from unstructured contact data.
• Strategic Focus: Focus on contact classification, intelligent summarization, sentiment analysis, churn signal detection, and product mention extraction.
• End-to-End Design: Manage the pipeline from problem framing and prompt design to embedding generation, classifier training, and final production.
• Stakeholder Validation: Run structured validation processes, including codebook reviews and labeling sessions, to earn trust before products scale.

Scaling and Productionalization

• Readiness Framework: Maintain a clear framework for deciding what is ready to scale based on business value, quality, and maintenance requirements.
• Engineering Partnership: Partner closely with the CSDA data engineering team to scope and hand off production-grade implementations.
• Quality Governance: Own the quality review process for AI products in production, including monitoring for output drift and driving recalibration.
• Product Advocacy: Serve as the face of these products with stakeholders, explaining how they work and being honest about their limitations.

What You’ll Need to Thrive (Requirements)

• Relevant Experience: 6+ years of experience in analytics, data science, ML, or NLP in a data-intensive environment.
• AI Fluency: Practical fluency with LLMs, including prompt engineering, structured output extraction, and model evaluation.
• Product Instincts: You think about what you are building in terms of who uses it and how you will know if it is working.
• Project Leadership: Strong program and stakeholder management skills with the ability to move things forward without formal authority.
• Technical Expertise: Applied experience with text data and NLP/ML techniques such as LLMs, classifiers, or embeddings.
• Core Skills: Expert-level SQL and solid Python proficiency with the ability to build and iterate on ML pipelines independently.
• Communication Mastery: Ability to explain complex classification pipelines to non-technical leaders and push back on requirements when necessary.

What Will Help You Stand Out (Nice to Haves)

• Specific Tooling: Experience with Snowflake Cortex, including COMPLETE and EMBED_TEXT functions.
• Library Familiarity: Familiarity with scikit-learn, spaCy, Hugging Face, or sentence-transformers.
• Domain Expertise: Prior work in a Customer Success, Care, or CX analytics context.
• Workflow Design: Experience building human-in-the-loop validation workflows or labeling interfaces.
• Proven Impact: A track record of prototyping things that made it into production and were successfully used.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

The Quantitative Research & Strategy (QRS) team within RA Capital helps inform investment decisions and improve core processes with data-driven analyses. The team focuses on three core areas: portfolio management, risk management, and data science. They leverage complex datasets to uncover insights related to trends, patterns, and key drivers within the healthcare and financial landscapes. The team operates on a wide variety of projects in a fast-paced environment; often collaborating across teams (Invest, Venture, Legal, Finance, Compliance, TechAtlas, etc) and working directly with senior leadership & portfolio managers.

About the Role

As an Associate within the QRS team, you will be working on diverse quantitative and qualitative analytical problems requiring you to: 

• Designing and building systems to transform unstructured data into usable, structured representations (e.g., knowledge graphs, embeddings, and linked datasets) that can be queried and analyzed by the investment team.
• Developing and deploying AI-driven workflows (e.g., LLM pipelines, retrieval systems, entity extraction, relationship mapping) to surface relevant insights from large corpora of text and other unstructured sources.
• Collaborate with the investment team to integrate data-driven insights into investment strategies. 
• Combine insights from healthcare data, financial information, and data analytics into cohesive stories and actionable narratives for RA’s investing team. 
• Develop dashboards and visualizations to communicate findings effectively. 
• Ensure data quality and integrity by implementing best practices in data collection, processing, and storage. 

Key Requirements

We are looking for curious, intelligent, and driven individuals with a strong interest in the intersection of healthcare, financial markets and data science, capable of delivering results in a timely manner and at the highest levels of quality. All applicants must meet the following criteria to be considered:

• Must be authorized to work in the United States. 
• Must have a Bachelors (or higher) in a STEM or finance/economics degree. 
• Must have 2+ years of experience working with unstructured data in AI systems.
• Experience designing and implementing systems for unstructured data, such as:
• Natural language processing (NLP) workflows
• Knowledge graphs or graph-based data models
• Vector databases / embedding-based retrieval systems
• Entity extraction, linking, and relationship mapping
• Familiarity with modern AI/LLM tooling (e.g., retrieval-augmented generation, prompt pipelines, evaluation frameworks) and an understanding of their limitations in high-stakes settings.
• Experience working with Spark (pyspark), SQL, and Python.
• Must be curious, flexible, and able to adapt quickly to changing projects and priorities.
• Must be based in Massachusetts (consideration will be given to applicants who are willing and able to relocate to MA).
• Must be able to work on a hybrid schedule out of our Boston office
• Must be authorized to work in the United States without sponsorship (or transfer of sponsorship)

Mission:

The Head of AI will play a key role in driving the success of Smartcat’s mission to become the end-to-end Language AI platform for global enterprises. In this role, you will shape Smartcat's AI strategy, unlocking the potential of AI to create new, innovative use cases or reinvent existing user experiences, delivering measurable value to our enterprise clients in multilingual content generation, translation, and analysis.

Outcomes:

• Create, enhance, and maintain Smartcat’s AI strategy, solidifying our market position as the leading Language AI platform for enterprises
• Lead with a vision on the future of AI, anticipating where the industry is heading and how to create strong tech IP and defensibility in the areas that are aligned with the company strategy
• There are three high-impact areas to focus on over the next 12 months:
• Language AI Quality: Smartcat delivers distinctly higher quality in AI-generated translations and content for enterprise customers, thanks to continuous feedback from their employees, which helps improve AI output. Your goal will be to introduce a holistic approach to measuring language quality across various use cases for translation and multilingual content generation. You will aim to achieve consistent improvement in these metrics quarter over quarter for our enterprise customers, significantly reducing the required editing effort on their end. (We are already making progress in this area and have achieved measurable results, but there is still enormous potential for innovation and breakthroughs.)
  You will also lead the development of a systematic technological approach to AI quality customization, using use case-specific AI agents integrated with our platform and data layers.
• Redesigning Product Experiences: Working with the UI/UX and other product teams, you will redesign every existing product experience and use case with an AI-first approach, focusing on improvements in quality, turnaround time, and creating innovative user experiences.
• AI-Driven Customer Lifecycle: Smartcat has strong inbound and PLG/PLS motions, with thousands of new verified logos signing up on the platform every quarter. You will lead the creation of an AI-driven customer lifecycle product within the Smartcat platform, leveraging real-time data on each user’s intent and in-product actions to deliver best-in-class, customized onboarding and support experiences. This product will also tailor the overall UX and guide users through their next steps within the platform.
• You will continue building and managing a team of top AI/ML engineers, fostering a culture of innovation, urgency, and customer-centricity.

Requirements:

• 10+ years of experience as an Engineering and Product leader with at least 2+ years leading AI/ML unit for a tech company
• A deep understanding of the current state of ML and AI, along with a natural passion and curiosity to stay ahead of the rapidly evolving AI landscape and drive innovation within it.Experience creating and driving a strategic AI roadmap with the ability to inspire and align a team
• Strategic mindset with a proactive approach to identifying opportunities and challenges
• Ability to effectively present and communicate at the executive and board level
• Readiness to work in a highly intense startup environment requiring extreme focus, a strong sense of ownership, and persistence to breakthrough
• Openness to constructive feedback and the opinions and ideas of others
• Strong preference to consider candidates who live on the East Coast, Boston or New York area, but will consider other areas for the right candidate. 
• Native-level fluency in English, both written and spoken

Senior Sales Executive, Employer Solutions (Hybrid)

At Wellist, we’ve spent the last 10 years helping people navigate life’s most challenging moments. After a decade of proven impact serving health systems, we have pivoted into the employer space —and we’re now scaling rapidly. Our platform empowers employers to deliver the right resources at the right time by creating an activation layer to the HR ecosystem, so employees feel supported through every life moment and HR leaders can maximize the value of their benefit investments. 

It’s an exciting inflection point: you’ll be joining a company with the stability of a seasoned organization and the momentum of a high-growth expansion. As our Senior Sales Executive, Employer Solutions you'll lead Wellist's rapid commercial expansion into the large, enterprise employer market through a combination of relationship building, dealmaking and market positioning.

What You’ll Do

• Own full-cycle enterprise sales to CHROs, HR Technology and Total Rewards leaders at mid-to-large employers—from prospecting through close.
• Manage and build on an existing pipeline while developing targeted prospecting strategies to open new employer relationships.
• Close multi-million-dollar ACV deals with typical sales cycles of 6–9 months.
• Partner directly with the CEO and Senior Commercial Advisors on high-stakes enterprise opportunities while independently driving key deals.
• Refine and scale our employer sales playbook by identifying what works, improving it, and making it repeatable.
• Bring timely market intelligence to Product and Marketing to strengthen our employer positioning and inform our GTM evolution.

What Success Looks Like

3 months in: Pipeline healthy and growing, confidently leading discovery through close, momentum building

6 months in: Multiple enterprise deals advancing through negotiation, forecasting reliable pipeline

12 months in: Closed 3-5 enterprise clients, established scalable sales approach for extended sales team

What You Bring

• 5-7+ years selling HR tech, digital health, or workforce solutions to senior HR buyers
• Track record closing complex enterprise deals to CHROs, HR Technology and Total Rewards leaders
• Experience in pivot/expansion mode—you've taken early traction and built it into consistent revenue
• Comfortable being the solo sales hire who doesn't need constant direction
• Natural credibility with HR executives; you speak their language
• Excited to shape a sales motion, not just execute someone else's playbook
• Willingness to travel as needed

Why Work Here

• Ownership of an entire market for an established company
• Real infrastructure and support (Product, Marketing, Client Success, Leadership)
• Direct partnership with CEO and deep advisor network on strategy
• Excellent comp, strong benefits, mission-driven team
• Room to grow into sales leadership as we scale

AI Technical Lead

Requires minimum of 2 days a week onsite in Boston, MA office

$160,000 - $200,000 + bonus

About the Role

IANS is rapidly expanding its AI strategy toward a Data-as-a-Service (DaaS) model—delivering not only insights through our own applications, but also structured data feeds, APIs, and AI-ready interfaces that enable clients to build their own intelligent systems and agentic workflows.

We are seeking a highly skilled AI Technical Lead to drive the design, development, and evolution of both our internal AI systems and our client-facing agent platforms. This role serves as the technical authority across AI initiatives—architecting agentic systems, building reusable frameworks, and guiding the engineering strategy that powers IANS’ next generation of data-driven products.

You will own the full lifecycle of AI and ML systems, with deep expertise in LLMs, retrieval-augmented generation (RAG), agent design, and enterprise-grade architecture.

AI Architecture, Agent Systems & DaaS Platform Development

• Lead the design and development of AI agent systems aligned with IANS’ evolving DaaS strategy, enabling clients to consume IANS data feeds and build their own AI agents using proprietary, internal, and third-party data.
• Architect agentic workflows that orchestrate retrieval, reasoning, tool use, planning, and action execution across enterprise contexts.
• Develop reusable agent frameworks, primitives, and SDK-style abstractions that external clients can safely and flexibly extend for their own applications.
• Integrate RAG pipelines, tool use, APIs, and multi-agent patterns into robust, production-grade platforms.
• Define scalable abstractions for agent memory, tool orchestration, context management, and autonomous task execution.

Technical Leadership & Strategy

• Shape the long-term AI and agent-platform roadmap in partnership with product and engineering leaders.
• Serve as the primary subject-matter expert on agentic systems, LLM architectures, RAG, and DaaS platform design.
• Provide technical leadership and mentorship across AI initiatives, ensuring consistent engineering excellence.
• Evaluate emerging technologies, frameworks, and standards relevant to AI agents, data delivery, automation, and platform extensibility.

Software Engineering & Systems Integration

• Develop production-grade Python code using frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, and modern agent toolkits.
• Design and maintain APIs, microservices, and developer-facing interfaces that enable both internal and external teams to integrate with IANS’ data and agent platforms.
• Implement robust testing, observability, logging, and performance optimization for complex agent workflows and model-driven systems.
• Ensure compatibility between internal systems and externally consumed SDKs, tools, and data interfaces.

AI Infrastructure, Deployment & MLOps

• Architect and manage scalable cloud-based AI/agent infrastructure (Azure preferred).
• Implement MLOps pipelines for continuous delivery, safe model updates, monitoring, evaluation, and governance.
• Build and maintain data pipelines supporting RAG, retrieval, embeddings, agent memory, and inference.
• Establish observability frameworks for agent behavior, tool interactions, and cost management.

Security, Governance & Enterprise-Grade Standards

• Define and enforce strict standards for security, data isolation, governance, observability, and cost control, especially when exposing agent capabilities and data products to clients.
• Ensure safe sandboxing, permissioning, and policy enforcement for client-built AI agents.
• Oversee compliance with regulatory frameworks (GDPR, CCPA, etc.) and responsible AI practices including fairness, explainability, privacy, and risk mitigation.

Qualifications & Skills

Required

• 5+ years of experience in AI/ML engineering, with 2+ years in a senior or lead role.
• Hands-on experience designing agentic AI systems, AI agents, or multi-agent frameworks for production environments.
• Deep expertise with LLMs, NLP, RAG pipelines, embeddings, and generative AI technologies.
• Strong Python engineering skills; experience with PyTorch, TensorFlow, Hugging Face, LangChain, etc.
• Experience architecting APIs, SDKs, or developer-facing tools used by external customers.
• Strong understanding of distributed systems, cloud infrastructure (Azure preferred), and scalable architectures.
• Familiarity with MLOps workflows, CI/CD, model monitoring, evaluation, and lifecycle management.
• Strong communication, leadership, and cross-functional collaboration skills.

Nice to Have:

• Experience with LoRA, PEFT, RLHF, and advanced fine-tuning techniques.
• Background in data engineering supporting model training and retrieval.
• Experience with Docker, Kubernetes, or large-scale microservice architectures.
• Experience applying ethical or responsible AI practices in enterprise contexts.

Why Join Us?

• Shape an industry-leading AI and DaaS platform powering the next generation of cybersecurity insights.
• Lead the architecture of agentic systems used by both internal teams and Fortune-class clients.
• Work with a highly skilled, collaborative team building forward-looking AI products.
• Competitive compensation, benefits, and opportunities for growth.

About the Role: Ginkgo Bioworks is constructing the world’s first "Total Autonomous Lab"—a facility where scientific work is requested by code and executed by robots, 24/7. We are looking for a Software Intern to help build the digital brain of this lab. You will work with Catalyst, our proprietary software stack that orchestrates fleets of Reconfigurable Automation Cells (RACs). This role is ideal for software engineers who want to apply their skills to physical systems or computational biologists who want to move beyond analysis into autonomous execution.

Responsibilities:

• Enable "Protocols as Code": Develop and refine Python-based protocols using the Catalyst Client to control liquid handlers, plate readers, and robotic arms.
• Build the AI Scientist: Assist in the development of Catalyst Agent, our LLM-based interface that allows scientists to launch experiments using natural language.
• Integrate Lab Data: Work on data pipelines that automatically harvest, structure, and upload experimental data from RACs into our data lake for AI model training.
• Develop Device Drivers: Help integrate new hardware instruments into the Catalyst ecosystem, writing the drivers that allow our software to "talk" to new lab tools.

Preferred Qualifications:

• No college degree necessary but some skills in coding or related areas required.
• Strong proficiency in Python; experience with hardware control or APIs is a plus.
• Enthusiasm for "Lab-in-the-Loop" technologies where AI models drive physical experimentation.
• Interest in biological data standards and laboratory automation.

About the Role: Ginkgo Bioworks is constructing the world’s first "Total Autonomous Lab"—a facility where scientific work is requested by code and executed by robots, 24/7. We are looking for a Software Intern to help build the digital brain of this lab. You will work with Catalyst, our proprietary software stack that orchestrates fleets of Reconfigurable Automation Cells (RACs). This role is ideal for software engineers who want to apply their skills to physical systems or computational biologists who want to move beyond analysis into autonomous execution.

Responsibilities:

• Enable "Protocols as Code": Develop and refine Python-based protocols using the Catalyst Client to control liquid handlers, plate readers, and robotic arms.
• Build the AI Scientist: Assist in the development of Catalyst Agent, our LLM-based interface that allows scientists to launch experiments using natural language.
• Integrate Lab Data: Work on data pipelines that automatically harvest, structure, and upload experimental data from RACs into our data lake for AI model training.
• Develop Device Drivers: Help integrate new hardware instruments into the Catalyst ecosystem, writing the drivers that allow our software to "talk" to new lab tools.

Preferred Qualifications:

• Recent graduate (BS/MS) or current student in Computer Science, Bioengineering, or a related STEM field.
• Strong proficiency in Python; experience with hardware control or APIs is a plus.
• Enthusiasm for "Lab-in-the-Loop" technologies where AI models drive physical experimentation.
• Interest in biological data standards and laboratory automation.

Position Overview:

We are looking for a Senior Machine Learning Engineer to build the core Machine Learning foundations that power Nova’s agentic experiences. This role focuses on applied Machine Learning in production environments: retrieval systems, evaluation frameworks, and model integration layers that make AI features reliable, scalable, and repeatable. You will design and implement the underlying components that support rich, intelligent interactions in the Iterable platform.

You will work closely with backend, frontend, and product teams to shape how Machine Learning is introduced and maintained across the company. The work blends hands-on engineering with system design, and is ideal for someone who can drive complex efforts independently, make practical architectural decisions, and collaborate in a fast-moving, cross-functional product environment.

Responsibilities:

• Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers.
• Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.
• Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring.
• Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.
• Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.
• Prototype applied ML solutions to validate feasibility before investing in full builds.
• Ensure secure, robust handling of data used in ML workflows and retrieval operations.
• Collaborate with product, design, and engineering to align ML system design with user experience and product goals.
• Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.

Qualifications:

• 5+ years experience as a Machine Learning Engineer or similar role focused on production systems.
• Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.
• Experience with retrieval systems, vector databases, search technologies, or RAG architectures.
• Prior work integrating ML or LLM-powered features into production applications.
• Understanding of ML evaluation techniques, experimentation design, and failure analysis.
• Ability to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity.
• Strong communication and collaboration skills in a distributed environment.

Bonus Points

• Experience building ML or LLM platforms, tooling, or developer-facing frameworks.
• Prior work with embeddings, search–ranking systems, or advanced RAG architectures.
• Familiarity with event-driven systems or streaming architectures.
• Experience with model observability, performance monitoring, or proactive regression detection.
• Background in personalization, recommendations, or applied NLP.
• Experience working in remote-first engineering teams.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Who We Are

As science and technology increasingly shape our lives, the Museum of Science strives to equip and inspire everyone to use science for the global good while keeping up with the pace of change.   Among the world's largest science centers and New England's most attended cultural institution, we engage nearly five million people a year – at Science Park and in museums around the world, in classrooms, and online.

The Museum's singular location connecting Boston and Cambridge puts us at the junction of some of the world's most influential academic institutions and industries, local and state government, schools, and the public. Trusted by each sector, we are ideally positioned to convene, inspire, and create meaningful experiences for all.  Come join us on our mission to inspire a lifelong love of science in everyone and living our vision for a world where science belongs to each of us for the good of all of us.

Why We Need You

As Senior Director, Communications, you will own the Museum's earned media strategy and reputation, defining the stories we tell, the platforms on which we tell them, and the people we need to tell them with us. You will shape how journalists, civic leaders, funders, partners, and the public understand and talk about the Museum of Science at a pivotal moment in its history.

This is not a traditional museum PR role. The ideal candidate thinks like a brand builder and operates like a strategist, someone with deep Boston roots and a national network, commercial instincts, and mission conviction, and the creativity and speed to generate real cultural momentum. You will work hand in hand with the VP, Marketing and Brand, the Creative Director, Marketing, and the VP, Digital Content to ensure that earned media, paid campaigns, and brand creative are all pulling in the same direction to drive outcomes.

What You'll Accomplish

Own the Earned Media and Reputation Strategy

• Develop and execute a bold, integrated PR strategy that drives measurable outcomes: media coverage, brand visibility, attendance, membership, donor engagement, and institutional reputation, locally, nationally, and globally.
• Shape the Museum's public narrative and brand positioning through earned channels, ensuring every story, media hit, and public moment reinforces the Museum's identity as a world-leading science brand.
• Build and maintain strong relationships with journalists, editors, producers, podcasters, and digital outlets across science, culture, education, innovation, and entertainment.
• Set and track earned media KPIs, coverage volume, sentiment, share of voice, audience reach, and use data to continuously refine the strategy.

Lead the Public Science Common Launch

• Serve as the communications architect for the October 2026 opening of the Public Science Common, the most significant cultural venue launch in Boston in a generation, and the defining institutional moment of the Museum's 2030 vision.
• Build and execute a pre-launch communications plan that builds anticipation, earns national and international coverage, and positions the Public Science Common as a must-see destination before the doors open.
• Coordinate closely with the VP, Marketing and Brand, and the Creative Director to ensure launch messaging, brand creative, and PR campaigns are unified and mutually reinforcing, one story told many ways.
• Develop the post-launch media strategy that sustains momentum, drives repeat coverage and keeps the Public Science Common in the cultural conversation long after the opening.

Drive Executive and Institutional Thought Leadership

• Partner with the CEO and Co-Chief Marketing & Digital Officers, Center leads, and museum science specialists to build and elevate their public profiles, securing speaking engagements, op-ed placements, podcast appearances, and media opportunities that establish them as leading voices on science, education, and public engagement.
• Develop compelling, on-brand narratives, speeches, op-eds, talking points, keynotes, that translate the Museum's mission and ambition into language that resonates with media, funders, elected officials, and the public.
• Position the Museum of Science as a trusted institution at the intersection of science, culture, and civic life, ensuring that journalists and policymakers instinctively reach for MOS voices when science is in the news.
• Identify and respond quickly to cultural moments, breaking science news, and policy developments where the Museum has something genuine and credible to say.

Be the Boston Insider and National Builder

• Bring deep, trusted relationships across Boston's media, civic, philanthropic, academic, and cultural communities, and actively leverage them to elevate the Museum's presence, influence, and attendance.
• Be visible and engaged: attending events, hosting press, connecting with civic leaders, and representing the Museum as a go-to voice on science, innovation, and education in the city.
• Build the national profile in parallel, developing relationships with national and international media, identifying story angles that travel beyond Boston.

Modernize Approaches

• Develop strategies that use creators, digital platforms, podcast networks, newsletter ecosystems, and earned social amplification to reach audiences where traditional media doesn't go.
• Collaborate with the Digital team to build and maintain a creator and influencer relations program that extends stories of science organically and authentically, working within the brand guardrails set by the Creative Director and in alignment with the audience strategies led by the VP, Marketing and Brand and the VP, Content and Product.
• Use data, listening tools, and audience insight to drive PR strategy, to understand and optimize efforts for brand, attendance, and our broader growth goals.
• Leverage AI tools to improve research, media monitoring, content drafting, and strategic planning, building a PR function that is efficient, proactive, and always a step ahead.
• Bring an experimenter's mindset: test new formats, new platforms, and new approaches to earned media, and build on what works.

Support Revenue and Advancement Goals

• Ensure that the Communications strategy actively supports revenue goals by aligning campaign timing, story pitches, and media moments with the VP, Marketing and Brand's promotional calendar to maximize the impact of every major initiative.
• Develop targeted communications strategies that strengthen the Museum's visibility with major donors, foundations, and philanthropic partners, supporting the Advancement team's fundraising priorities.
• Work closely with the VP, Digital Content and Product to leverage owned digital channels, ensuring that PR-driven stories, earned media moments, and thought leadership content are amplified across the Museum's digital platforms, social channels, and content ecosystem for maximum reach.
• Serve as a communications resource for Exhibits, Programming, Centers, Digital, ESSO, and other institutional teams, helping surface and amplify stories from across the Museum that serve the brand and mission.

What We're Looking For (Competencies)

• 12+ years of progressive PR and Communications experience, including senior leadership roles with ownership of earned media strategy and reputation management.
• A proven track record of generating real media impact, national and local coverage, executive visibility, and cultural moments, with the portfolio to show for it.
• Deep knowledge of and existing relationships in the Boston media, civic, and philanthropic landscape, you are known here, and you know how this city works.
• Commercial Communications instincts: you understand how earned media connects to attendance, revenue, donor engagement, and brand equity, and you build strategy accordingly.
• Experience leading communications for major launches, openings, campaigns, or institutional milestones, the bigger and more complex, the better.
• A modern Communications practitioner, fluent in digital platforms, creator and influencer ecosystems, podcast media, and the evolving landscape of how stories get told and amplified.
• Strong executive communications skills, you can write, coach, and position leaders with confidence, and can turn complex institutional ideas into compelling public narratives.
• Data-driven and results-oriented: you set PR targets, track performance, and use insights to improve the strategy continuously.
• Experience with AI tools for media monitoring, research, content development, or strategic planning, and an appetite to keep pushing into what's next.
• A natural collaborator who works seamlessly across functions, you understand that PR, marketing, and creative are stronger together, and you actively build those bridges.
• A background in science, STEM, education, culture, or media is a strong plus, familiarity with science communication and an instinct for what resonates with broad audiences are qualities we value highly.
• An authentic belief in the museum’s mission and the ambition to match it.

How We Work-Our Values

Mission-Focused: We inspire a lifelong love of science in everyone.   

Audience-Driven: Everything we do begins with the people we serve. 

Innovative: We are curious, take smart risks, share responsibility, and own outcomes. 

Generous: We offer time and energy towards common goals. 

Who We Are

As science and technology increasingly shape our lives, the Museum of Science strives to equip and inspire everyone to use science for the global good while keeping up with the pace of change.   Among the world's largest science centers and New England's most attended cultural institution, we engage nearly five million people a year – at Science Park and in museums around the world, in classrooms, and online.

The Museum's singular location connecting Boston and Cambridge puts us at the junction of some of the world's most influential academic institutions and industries, local and state government, schools, and the public. Trusted by each sector, we are ideally positioned to convene, inspire, and create meaningful experiences for all.  Come join us on our mission to inspire a lifelong love of science in everyone and living our vision for a world where science belongs to each of us for the good of all of us.

Why We Need You

As Vice President, Marketing & Brand, you will lead the execution of the Museum of Science's marketing strategy, owning the integrated programs and campaigns that drive measurable growth across every revenue and engagement goal, from in-person attendance and membership to digital audiences, school engagement, and advancement support. You will build and run a high-performing team, work closely with digital and product colleagues, and serve as the bridge between marketing strategy and the results we need to see in the world.

The ideal candidate is an outcomes-obsessed marketing innovator, someone who treats every channel, every campaign, and every audience interaction as an experiment to be optimized for results. You are data-first and audience-driven, deeply comfortable with new tools and emerging strategies, and fundamentally motivated by revenue and growth.

What You'll Accomplish

Lead Integrated Marketing Execution

• Own the development and execution of integrated marketing plans and campaigns that drive aggressive growth in attendance, membership, revenue, and audience reach, across in-person, digital, and in-school channels.
• Lead the planning and delivery of campaigns across paid, owned, and earned channels, ensuring each initiative is grounded in audience insight, tied to clear goals, and built for measurable performance.
• Manage the marketing calendar, budget allocation, and campaign prioritization across the team, balancing long-horizon brand campaigns with fast-moving promotional needs.
• Bring creative and operational rigor to every initiative: strong briefs, clear timelines, decisive creative reviews, and disciplined post-mortems.

Drive Revenue and Audience Growth

• Set and own the marketing targets for attendance, membership acquisition and retention, digital audience growth, school program engagement, and revenue contribution from marketing-led channels.
• Work closely with the Membership, Box Office, and Group Sales teams to align marketing programs with revenue goals and ensure campaigns are converting at every stage of the funnel.
• Support Advancement priorities as needed, providing marketing input on donor-facing communications, institutional visibility, and campaigns where philanthropy and public marketing intersect.
• Develop and execute strategies for reaching audiences at a local, national, and global scale, including earned media, digital growth, creator partnerships, and in-school presence in support of the 2030 one billion audience reach goal.
• Identify and act on growth opportunities quickly, with the analytical discipline to know what's working, the judgment to scale it, and the willingness to cut what isn't.

Own the Marketing Channel Strategy

• Lead the channel strategy across paid media, email, SEO/SEM, social, content marketing, out-of-home, and partnerships, ensuring each channel has a clear role, an accountable team member, and performance benchmarks.
• Work in close partnership with the Digital and Product teams to ensure the website, app, and digital platforms are performing as conversion and retention tools, not just brand assets.
• Champion a digital-first marketing approach that meets audiences where they are, on their phones, in their feeds, in their classrooms, and in their communities.
• Leverage AI tools and marketing technology to increase efficiency, personalization, and scale across the team's work.

Build and Run a High-Performing Team

• Lead, develop, and hold accountable a team across campaign management, paid media, email, content, and channel strategy.
• Foster a culture of performance, creativity, and continuous learning, a team that moves at the speed of the mission and holds itself to a high standard.
• Manage agency, vendor, and partner relationships with clear expectations, efficient processes, and a bias toward results.
• Build the systems, workflows, and ways of working that allow the team to operate effectively at scale.

Lead the Public Science Common Launch

• Own the integrated marketing strategy and execution for the October 2026 opening of the Public Science Common, The Worlds Stage for Science, and one of the most significant cultural venue launches in Boston's recent history and the centerpiece of the Museum's ambitions.
• Drive pre-launch audience building, awareness campaigns, earned media strategy, and ticket/membership conversion across all channels in the lead-up to opening.
• Coordinate marketing timelines, milestones, and deliverables across internal teams and external partners to ensure the launch lands with the scale and impact it deserves.
• Build the post-launch marketing framework that sustains momentum, drives repeat visitation and establishes the Public Science Common as a must-visit destination regionally and nationally.

Champion the Brand Vision

• Serve as a senior steward of the Museum of Science brand, ensuring that all marketing execution is not only on-strategy and on-brief, but consistent with the institution's evolving brand vision.
• Work in close partnership with the Creative Director, Marketing to ensure that campaign strategy and creative execution are tightly aligned. The VP sets the strategic direction; the Creative Director brings the vision to life with visual and tonal authority.
• Contribute to the ongoing evolution of the brand platform, bringing a marketer's perspective on how the brand is landing in the market, what audiences are responding to, and where the biggest opportunities for differentiation lie.
• Ensure that as the institution grows and launches new initiatives, the brand remains coherent, ambitious, and recognizable across every touchpoint and team.

Innovate Relentlessly

• Operate with a continuous experimentation mindset, treating every campaign, channel, and audience segment as a hypothesis to be tested, measured, and improved. Good enough is never the goal.
• Stay aggressively current on emerging marketing tools, platforms, technologies, and strategies and bring them into the Museum's work before competitors do.
• Lead the team's adoption of AI-powered marketing tools across ideation, content production, media optimization, personalization, and analytics, not as a side project but as a core capability.
• Build a culture of creative risk-taking grounded in data: encourage the team to try new things, measure what happens, scale what works, and kill what doesn't without attachment.
• Challenge inherited assumptions about how the Museum of Science markets itself — from channel mix to messaging to promotional timing — and replace legacy approaches with strategies built for how audiences actually behave today.
• Bring a growth hacker's instinct to institutional marketing: always looking for the underexploited channel, the undertapped audience segment, the promotional lever that hasn't been pulled yet.

Build the Promotional and Demand Architecture

• Develop and own the annual marketing calendar, building a strategic framework that maps audience demand, institutional programming, key cultural moments, and promotional windows into a coherent, year-round plan that maximizes attendance, revenue, and engagement at every point in the cycle.
• Create scalable promotional frameworks for the Museum's major initiatives, new exhibit launches, seasonal programming, school engagement, membership drives, and digital campaigns so that every initiative goes to market with the right strategy, the right spend, and the right timing.
• Apply destination marketing thinking to how we manage audience flow: understanding when and why audiences visit, which levers pull which audience segments at which times of year, how to build demand in slow periods, and how to maximize yield during peak windows.
• Bring a data-driven approach to promotional planning: using historical attendance data, audience segmentation, and market analytics to make smart decisions about where to invest, when to push, and how to drive incremental visits from existing and new audiences.
• Work closely with Operations, Programming, and Finance to ensure that marketing-driven demand is sequenced in ways the institution can deliver on, building a rhythm between what we're promoting and what the building, the staff, and the programming calendar can support.

Collaborate Across the Organization

• Serve as a senior marketing voice in cross-functional planning, working alongside Exhibits, Programming, Membership, ESSO, Digital, Product, Advancement, and other teams to ensure marketing is integrated into institutional priorities from the start.
• Represent the marketing function in leadership conversations with clarity, data, and strategic confidence.

What We're Looking For (Competencies)

• 15+ years of progressive marketing experience, with at least 4 years in a senior leadership role owning revenue or audience growth targets, and a track record that shows it.
• A demonstrable growth mindset: you have measurably moved numbers, attendance, membership, digital audiences, revenue, and you can speak specifically to how.
• A natural experimenter and early adopter, you actively seek out new tools, test new strategies, and build teams that are wired the same way. You are not comfortable doing things the way they've always been done.
• Deep expertise in integrated campaign strategy across paid, owned, and earned channels, with strong command of performance marketing, digital, email, SEO/SEM/AI & LLM, and content.
• Hands-on fluency with AI marketing tools and a clear point of view on how they accelerate output, improve targeting, and enable personalization at scale.
• A data-first operating style — you set targets, build dashboards, run tests, and make decisions based on what the numbers say, not what feels right.
• Deep expertise in marketing analytics, attribution modeling, audience segmentation, and performance measurement, with the ability to design the data architecture that powers growth decisions.
• Experience in destination, attraction, or entertainment marketing, theme parks, cultural institutions, tourism, live events, or similar contexts where managing audience flow, seasonal demand, and promotional architecture are core to the job. This is a genuine differentiator for this role.
• Comfort operating at the intersection of brand and performance, you understand that great marketing does both, and you build programs that deliver on both.
• Excellent people leadership skills, you build strong teams, develop talent, give direct feedback, and create a culture where people do their best work and are held to a high bar.
• Exceptional communication and cross-functional collaboration skills, able to manage up, across, and down with equal effectiveness.
• Familiarity with advancement, development, or fundraising marketing contexts understanding how institutional marketing and philanthropy intersect is a plus.
• A background in science, STEM, media, or education is a plus, experience translating complex or technical subjects for broad audiences is highly valued.
• An authentic belief in the mission, and the hunger to grow it. The Museum of Science's work matters, and the best candidate for this role will feel that as fuel, not just context.
• This is a hybrid position with a Monday through Friday schedule.

How We Work-Our Values

Mission-Focused: We inspire a lifelong love of science in everyone.   

Audience-Driven: Everything we do begins with the people we serve. 

Innovative: We are curious, take smart risks, share responsibility, and own outcomes. 

Generous: We offer time and energy towards common goals. 

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

Here’s a collection of articles about our product, mission, recent funding round, etc.

Job Description

We’re hiring an exceptional data scientist to join our team (Boston or NYC office). In this role, you will be responsible for advancing our applied ML and data science capabilities for healthcare. 

You can expect to:

• Develop, validate, and measure the impact of large language model (LLM) and other ML-based approaches for chart abstraction from both unstructured and structured healthcare data.
• Apply and rigorously evaluate cutting-edge methods to solve real clinical problems.
• Work hand-in-hand with our customers to best leverage Layer Health’s platform and supercharge their workflows. 
• Stay up-to-date on the latest in applied NLP and generative AI techniques and proactively explore these technologies where applicable.
• Establish and enforce best practices for data science and analytics.
• Cultivate and foster a robust and thoughtful data science and product culture that drives the company forward.

We look for:

• 5-7+ years of professional experience as a data scientist working for a company with major ML dependencies.
• At least 3-4 years of healthcare / clinical applications experience.
• A solid foundation of ML/methods.
• Fluent programming skills in Python, and fluency with modern data science and ML/NLP libraries (PyTorch, Tensorflow, HuggingFace, etc.). 
• Deep fluency and instincts for data manipulation, treatment, and evaluation, with the ability to wrangle large, complex datasets efficiently and methodically.
• Familiarity with modern applied LLM techniques and their practical implementations (any experience using these techniques is a bonus).
• Proactive mindset to identify and solve problems, continuously improving our data science capabilities.
• A strong communicator who thrives in a customer-focused, fast-paced environment.
• An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team. 
• We are a Boston-based company, and expect engineers to meet regularly in-person in Boston (engineers from Boston, NYC, or east coast are welcome).

Expected compensation range for this role is $180,000 - 200,000. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. 

If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Join us and help us transform healthcare with AI. Layer Health is committed to foster an environment of inclusion that is free from discrimination.  We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law. 

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

Here’s a collection of articles about our product, mission, recent funding round, etc.

We’re seeking an exceptional candidate to join our company as a part of the growing Clinical Informatics team. Together, we will create the AI layer that will redefine healthcare for the better.

What you'll do:

• In collaboration with the Customer Success and Product teams, perform detailed workflow analysis at client hospitals to understand clinical workflows and help design AI-based interventions.
• Contribute to and help maintain an advanced interoperability layer, transforming FHIR, HL7, CCDA, and other common data standards to a common data layer.
• Contribute to the design and development of an advanced data layer that supports both machine learning R&D as well as real-time inference for embedded clinical applications. 
• Use your strong clinical and informatics knowledge to participate in data modeling, harmonization, normalization, and transformation efforts.
• Work collaboratively in a fast-paced environment with cross-functional teams including engineering/research, customer success, and business to execute on the informatics vision and help invent the next iteration of human-AI collaboration in healthcare.
• Create excellent documentation to allow other team members to self-serve on internal and external informatics topics, previously defined workflows, and data sources.

What you'll need:

• You are an exceptional Clinical Informatician with significant experience in analyzing and redesigning healthcare IT workflows and a history of successfully launching new products/features in a hospital setting (EPIC, Cerner, etc.).
• You are eager to tackle new challenges and quickly acquire new skills and abilities. You thrive in an environment primed for innovation at every level: theoretical machine learning, user interface design, human-AI collaboration, etc. 
• You excel at algorithmic thinking and have fluency with at least one programming language (preferably Python) as well as beginner to intermediate SQL skills.
• You have a working knowledge of natural language processing (NLP) methods.
• You have an understanding of common healthcare standards and ontologies (FHIR, HL7, ICD10, CPT, RxNorm, etc.)
• You are a MD/DO Physician who has completed primary specialty training (residency)
• You have advanced training in clinical informatics, through fellowships, post-graduate training, advanced degrees (master’s or PhD), or work experience.
• You’re adaptable and excited to work in a fast-paced environment that is ambitious, changing rapidly, and often breaking new ground.
• You have exceptional verbal and written communication and presentation skills.

Expected base salary compensation range for this role is $200K-$260K (plus equity). Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. 

If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Layer Health is committed to fostering an environment of inclusion that is free from discrimination.  We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

Join us and help us transform healthcare with AI.

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

Here’s a collection of articles about our product, mission, recent funding round, etc.

We’re seeking an exceptional candidate to join our company as a part of the growing Clinical Informatics team. Together, we will create the AI layer that will redefine healthcare for the better.

What you'll do:

• In collaboration with the Customer Success and Product teams, perform detailed workflow analysis at client hospitals to understand clinical workflows and help design AI-based interventions.
• Contribute to and help maintain an advanced interoperability layer, transforming FHIR, HL7, CCDA, and other common data standards to a common data layer.
• Contribute to the design and development of an advanced data layer that supports both machine learning R&D as well as real-time inference for embedded clinical applications. 
• Use your strong clinical and informatics knowledge to participate in data modeling, harmonization, normalization, and transformation efforts.
• Work collaboratively in a fast-paced environment with cross-functional teams including engineering/research, customer success, and business to execute on the informatics vision and help invent the next iteration of human-AI collaboration in healthcare.
• Create excellent documentation to allow other team members to self-serve on internal and external informatics topics, previously defined workflows, and data sources.

What you'll need:

• You are an exceptional Clinical Informatician with significant experience in analyzing and redesigning healthcare IT workflows and a history of successfully launching new products/features in a hospital setting (EPIC, Cerner, etc.).
• You are eager to tackle new challenges and quickly acquire new skills and abilities. You thrive in an environment primed for innovation at every level: theoretical machine learning, user interface design, human-AI collaboration, etc. 
• You excel at algorithmic thinking and have fluency with at least one programming language (preferably Python) as well as beginner to intermediate SQL skills.
• You have a working knowledge of natural language processing (NLP) methods.
• You have an understanding of common healthcare standards and ontologies (FHIR, HL7, ICD10, CPT, RxNorm, etc.)
• You are a MD/DO Physician who has completed primary specialty training (residency)
• You have advanced training in clinical informatics, through fellowships, post-graduate training, advanced degrees (master’s or PhD), or work experience.
• You’re adaptable and excited to work in a fast-paced environment that is ambitious, changing rapidly, and often breaking new ground.
• You have exceptional verbal and written communication and presentation skills.
• You’re looking forward to working with our in-person teams in Boston or New York City.

Expected compensation range for this role is $140K-160K, in addition to stock options. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. 

If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Layer Health is committed to fostering an environment of inclusion that is free from discrimination.  We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

Join us and help us transform healthcare with AI.

About us:

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

We’re seeking outstanding hires to join our team as early members. This is an opportunity to contribute to a high-impact, collaborative, mission-driven team, and help define the next stage of growth for Layer Health. Together, we will create the AI layer that will redefine healthcare for the better.

We’re currently looking to hire our first ML Engineering Manager to help mentor our team and oversee ML strategy. This is a hybrid role in our Boston or NYC office; you will work closely with our engineers, ML scientists, and product teams to enable our team to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability.

Here’s a collection of articles about our product, mission, recent funding round, etc.

What you’ll do

• Provide technical leadership and management to a small, high-leverage team of ML Engineers, Research Engineers, and ML/Data Scientists. Act as a player-coach: you’ll set direction while remaining actively involved in design, experimentation, and implementation.
• Drive the development of end-to-end ML systems—from shaping ambiguous problems into clear model requirements, training datasets, evaluation frameworks, and model architectures, to supporting reliable production deployment.
• Help craft and drive the ML technical agenda in partnership with engineering, research, and product leadership, ensuring the roadmap aligns with company goals and high-impact opportunities.
• Lead rigorous experimentation and model evaluation, ensuring our LLM systems meet clinical-grade performance and reliability requirements.
• Work closely with our engineering team to integrate and scale models in production, optimize inference efficiency, and maintain strong observability and monitoring.
• Establish and champion best practices in modeling, code quality, reproducibility, and experiment design—helping define “what incredible looks like” for ML at an early-stage, mission-driven health tech company.
• Communicate technical work clearly to cross-functional partners and leadership, translating ML developments into strategic implications for the business and product.
• Recruit, cultivate, and inspire the next generation of technical talent as the team grows.

What we look for

• Degree in computer science, mathematics, physics, or a related field.
• 7+ years of hands-on ML experience, ideally including LLMs or NLP; healthcare exposure is a plus but not required.
• 2+ years of technical leadership experience (formal or informal) where you’ve guided teams, set direction, and mentored others and 1 or more years formal management experience.
• Deep ML expertise: model development, training workflows, data pipeline design, evaluation methodology, and production deployment.
• Strong Python fluency and experience with modern ML tooling and infrastructure.
• Comfortable owning production-level data pipelines, monitoring, and performance analysis.
• A strategic thinker who can also dive deep into hands-on implementation when needed.
• Thrives in fast-paced, high-autonomy environments with evolving requirements.
• Excellent communication and collaboration skills.
• A passion for transforming healthcare with state-of-the-art AI.

Would be nice

• Previous early stage startup experience (and a love for it)

Expected compensation range for this role is $250,000-275,000. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. 

If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Layer Health is committed to fostering an environment of inclusion that is free from discrimination.  We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

Join us and help us transform healthcare with AI.

At Charles River Analytics, we develop leading-edge solutions and technology to address the world’s most complex challenges. Our team of innovative entrepreneurs drives advancements in AI, robotics, smart sensing, and human-centered computing. Our research and development efforts not only propel government programs forward but also unlock new opportunities in the commercial sector. As a 100% employee-owned company, we foster a culture of participation, innovation, and accountability among our staff. We take immense pride in our ability to attract and retain the industry's most talented and creative problem solvers.

We are looking for enthusiastic engineering and research interns to join the Charles River Analytics 2026 summer intern program. This is a great opportunity to gain hands on industry experience and join a highly innovative research and development team this summer!

We are in search of students with interests in:

• Software Engineering
• Artificial Intelligence
• Machine Learning
• Natural Language Processing 
• Computer Vision, Autonomy, and Robotics
• Probabilistic Programming
• Human Computer Interaction
• Adaptive Intelligent Tutoring

What do you need?

• U.S. Citizenship
• Currently in pursuit of a B.S., M.S., or Ph.D in a computer science related program
• Available for a 2026 summer internship
• Ability to work on multiple projects, switching easily from task to task and learning new concepts as necessary
• Experience with a high-level programming language and a solid background in designing, programming, and documenting complex software systems
• Code and writing samples may be requested

Benefits:

Charles River Analytics offers an attractive benefits package that includes, but is not limited to the following:

• Casual work environment
• Free snacks and beverages
• Eligible for medical plan enrollment or opt-out incentive
• Paid sick/excused time
• Free onsite parking and easily accessible by the MBTA

Internship Activities:

Interns at Charles River Analytics can participate in activities such as:

• Intern challenge problems
• Seminars
• Company-wide outings

You can learn more about our internship program here as well as check out last year’s Great Promise Award (GPA) winners to hear what it is like to be an intern at Charles River Analytics!

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

We’re seeking outstanding hires to join our team as early members. This is an opportunity to contribute to a high-impact, collaborative, mission-driven team, and help define the next stage of growth for Layer Health. Together, we will create the AI layer that will redefine healthcare for the better.

Here’s a collection of articles about our product, mission, recent funding round, etc.

Job Description

We’re hiring an exceptional ML scientist. In this role, you will be responsible for pioneering innovative machine learning techniques to advance our fundamental clinical machine learning and large language model efforts.

You can expect to:

• Design and implement state-of-the-art machine learning techniques to advance Layer Health’s research agenda (in areas such as information extraction, multimodal reasoning, and summarization).
• Propose new agentic methods that tackle fundamental NLP and ML challenges such as modeling over multiple documents, long contexts, multiple modalities, and with limited or noisy labels  
• Build foundation models to power the future of clinical information extraction & synthesis, from training through inference. 
• Stay up-to-date and actively engage with cutting-edge research in NLP, generative AI, and clinical machine learning.
• Collaborate with the broader engineering team to ship performant products that meet user needs.
• Cultivate and foster a robust and thoughtful R&D culture that drives the company forward.

We look for:

• Exceptional methodological research background and experience, including but not limited to:
• A PhD in computer science/applied mathematics or equivalent research experience, specializing in natural language processing and machine learning.
• High-impact, early-author publications at top peer-reviewed ML journals/conferences.
• Demonstrated record of delivering real-world impact from start to finish– with the ability to design, develop, and ship innovations.
• Strong programming skills and fluency with modern machine learning/LLM stacks (deep learning libraries e.g. PyTorch, Jax).
• Past experience in training/inference of foundation models (billions of parameters, distributed training, familiarity with state-of-the-art techniques).
• A strong communicator who thrives in a customer-focused, fast-paced environment.
• An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team. 
• Past experience in healthcare of life sciences is a plus, but not required.
• We are a Boston-based company, and expect employees to meet regularly in-person in Boston (employees from Boston, NYC, or east coast are welcome).

Expected compensation range for this role is $200,000-250,000, in addition to stock options. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. 

If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Layer Health is committed to fostering an environment of inclusion that is free from discrimination.  We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

Join us and help us transform healthcare with AI.