NewResearch Senior Scientist, Cheminformatics AI/ML 3316 Takeda Development Center AmericasResearch Senior Scientist, Cheminformatics AI/MLBoston, MassachusettsExperience building, maintaining, and searching ultra-large chemical databases using scalable data engineering, distributed computing, and high-performance search technologies; familiarity with cloud storage, vector search, and chemical indexing is highly desirable. Establish and maintain MLOps capabilities for predictive models, including reproducible training and deployment pipelines, model lifecycle orchestration, performance monitoring, versioning, and scheduled retraining.
Senior Mechanical Engineer SymboticSenior Mechanical EngineerMelrose, MAApplying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. Cross-Functional Collaboration: Work closely with electrical, software, controls, manufacturing, and quality engineering teams to ensure seamless integration and product success. .
Senior Engineering Program Manager, Core Algorithm WhoopSenior Engineering Program Manager, Core AlgorithmBoston, MassachusettsThis role is focused on operational excellence across algorithm development—from roadmap planning and model development through validation, integration, and release—ensuring our teams can efficiently deliver industry-leading physiological insights. In this role, you will partner closely with algorithm engineers, data scientists, firmware engineers, software teams, product management, and validation teams to deliver the physiological algorithms that power WHOOP’s member experience.
NewSenior Robotics Software Engineer (Full Stack) Integrated Computer SolutionsSenior Robotics Software Engineer (Full Stack)Wilmington, MassachusettsIn this role, you will work closely with our core team to design, build, and debug features that directly control how our robots perceive, navigate, and interact with the physical world. You are equally comfortable writing highly optimized C++ code, writing quick Python test scripts, or grabbing a screwdriver to check a sensor connection on the physical platform.
NewProduct Manager/Product Owner - Enterprise Analytics/Ai/Ml SanofiProduct Manager/Product Owner - Enterprise Analytics/Ai/MlCambridge, MA$178,500–$257,833.33 / yearCollaborate with Business Stakeholders: Partner with Finance, Pricing, Access Analytics, GTN CoE, Brand GMs, and GTMC teams to deeply understand pain points, co-design solutions, and ensure GTN tools support key governance processes including Actuals Review, Access & Investment Boards, Strategic Access Forums, and bid-cycle preparation. This means: AI Factory- Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs, and projects to create an agile, fulfilling, and meaningful work environment.
Senior Insurance Data Science Consultant EarnixSenior Insurance Data Science ConsultantBoston, MARemote$180,000–$204,000 / yearYou will play a pivotal role in influencing client decision-making, shaping pricing strategies and delivering actionable insights to clients across multiple lines of business. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business.
Senior AI / Machine Learning Engineer Absentia LabsSenior AI / Machine Learning EngineerBoston, MassachusettsThis role is intended for engineers who have trained large models in real production environments, understand the realities of scale, and can reason about both learning dynamics and systems constraints. Design, train, and evaluate large-scale models, including Large Language Models (LLMs), diffusion models, and Graph Neural Networks (GNNs).
Machine Learning / Reinforcement Learning Infrastructure Engineer EkaMachine Learning / Reinforcement Learning Infrastructure EngineerCambridge, MassachusettsCollaborate with Researchers: Partner with the research team to understand their needs, build infrastructure that supports cutting-edge methods, guide best practices for training at scale, and contribute to core JAX model and training code. Distributed Systems: Familiarity with distributed training, multi-host setups, data pipelines, and managing workloads on cloud platforms or orchestration systems (e.g., Kubernetes, SLURM, GCP, AWS).
Machine Learning Engineer Air Space IntelligenceMachine Learning EngineerBoston, MassachusettsExperience building and maintaining scalable, reliable production ML systems with robust data pipelines, including expertise with Apache Beam, MLflow, and similar production-grade tools. Backed by top-tier investors including Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI delivers operational decision superiority—compressing days of analysis into seconds of action.
Senior Machine Learning Operations Engineer Car GurusSenior Machine Learning Operations EngineerBoston, MA$144,000–$181,000 / yearYou will partner closely with data scientists to deploy machine learning models to production and to build and maintain the APIs and data pipelines that integrate predictive intelligence into CarGurus' products. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives.
Operations Manager, Lifesciences AirspaceOperations Manager, LifesciencesBoston, MA$80,000–$85,000 / yearBy 180 days, you're independently managing day-to-day escalations and staffing coordination, taking a growing lead in cross-functional conversations, running your first new-hire training cycle, and co-owning SAR prep and delivery with your sector leadership. In your first 90 days, build relationships across your sector team and cross-functional partners (Revenue, Network, Finance, QA), develop fluency in your sector's performance and key accounts, and shadow your sector leadership on cross-functional representation and SAR prep.
Principal Software Engineer - AI New BalancePrincipal Software Engineer - AIBrighton, MA$120,000–$150,000 / yearA core focus of this role is designing and building enterprise-grade AI assistants and automations using RAG and agentic AI techniques -software agents that can plan, coordinate tools, interact with systems, and execute multi-step workflows with appropriate guardrails. This team is responsible for researching and delivering AI based solutions across the company to improve internal workflows, decision-making, and operational efficiency across a wide range of business functions, including operations, supply chain, finance, product, and corporate services.
Technical Architect, Integration Development Brown AdvisoryTechnical Architect, Integration DevelopmentBoston, MA$137.50–$182.50 / hourThe position requires strong experience in highly regulated financial services environments, practical knowledge of asset management operating models, and the ability to design secure, resilient, observable, and maintainable platforms that support business transformation, automation, analytics, and operational efficiency. Position Summary: The Technical Architect, Integration Development is a senior hands-on architecture and engineering leader responsible for designing, governing, and delivering integration solutions within Brown Advisory enterprise platforms.
Senior Technical Consultant AppianSenior Technical ConsultantBoston, MA$100,000–$200,000 / yearKnowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred). Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education.
Technical Lead, ML Operations WhoopTechnical Lead, ML OperationsBoston, MassachusettsThis is a hybrid individual contributor and leadership role where you will set technical direction and lead a small team, while driving architectural decisions, and partnering closely with Data Science, AI, and Engineering teams to scale WHOOP’s machine learning capabilities. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
Principal Consultant AppianPrincipal ConsultantBoston, MA$100,000–$225,000 / yearKnowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers is preferred. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, developing APIs to integrate with multiple systems, partnering with Appian Architects and Technical Delivery Managers, and leading/mentoring consultants through fast-paced software implementations.
Staff Applied Scientist, Search & Discovery Material BankStaff Applied Scientist, Search & DiscoveryBoston, MAFlexible Work Schedules : With business units and employees across the globe, Material Technologies has embraced a hybrid working model allowing department leaders to decide on the best approach for their respective teams, whether that be remote, in person, or a little of both. Real exploratory and experimental rigor : statistical modeling, experimental design, and hypothesis testing, plus comfort working in ambiguity where the right approach is not yet known.
Atlas ML Software Engineer - Large Scale Behavior Cloning Boston Dynamics, inc.Atlas ML Software Engineer - Large Scale Behavior CloningWaltham, MA$154,000–$190,000 / yearYour scope will span data pipelines, training infrastructure, evaluation systems, and the tooling that connects them, with the goal of reducing friction and increasing the throughput and quality of each iteration. Base pay will depend on multiple individualized factors including, but not limited to internal equity, job related knowledge, skills and experience.
Senior Product Manager, Marketing Measurement & Attribution WayfairSenior Product Manager, Marketing Measurement & AttributionBoston, MAOur Marketing Measurement & Attribution team is responsible for ensuring every dollar we spend is grounded in rigorous experimentation and best-in-class attribution models (e.g., Themis, MMM, lift studies, clean rooms). This team sits at the intersection of Marketing, Applied Science, Data Engineering, and Finance to drive confident, data-driven investment decisions across a multi-million-dollar media budget.
Biostatistician I Beth Israel Lahey HealthBiostatistician IBoston, MassachusettsThe candidate will have the opportunity to incorporate machine learning based analyses for projects related to heart disease, and to leverage conventional and advanced approaches to analyze large unique high-dimensional complex databases of human data. Using SAS and other relevant statistical software, create analytic files by merging multiple, large databases including Medicare, and other complex claims-based data to meet the analysis goals.