Machine Learning Jobs in Cambridge, MA

Design and deploy production-grade ML systems, integrate models into software pipelines, and develop features leveraging ML for optimization and prediction problems.

The Director of Product will lead product strategy, manage product execution and drive innovation in drug discovery and scientific tools, ensuring alignment between customer needs and the scientific team's goals.

As a Solution Architect, you will design and architect modern IT systems for healthcare, collaborating with product owners and leading technical discussions to improve efficiency and service delivery.

Lead the Oncology Data Science team in developing data-driven solutions for low molecular weight drug development, leveraging AI and machine learning. Collaborate with stakeholders to execute data science strategies and ensure adherence to best practices in analytics.

Evaluate and create AI-generated content in German. Review writing for factuality, completeness, and grammar while producing original content.

Lead the development of machine learning algorithms focusing on perception for autonomous driving, collaborating across teams and mentoring ML developers.

The Product Owner will lead the development of AI/ML-driven digital products for molecular modeling, enhancing scientific workflows and driving product adoption through agile cross-functional team leadership.

Embed with domain teams to prototype, build, and productionize data and AI applications on Palantir Foundry. Design data pipelines, ontologies, and user-facing workflows; ensure data quality, access controls, monitoring, and reuse. Lead discovery to delivery, collaborate with product and platform teams, and mentor peers to drive adoption and durable operational solutions.

The Senior Professional Services Solutions Architect will drive sales and delivery of Snowflake services, acting as a trusted advisor while collaborating with customers to solve their data challenges.

The Research Engineer/Scientist will advance decision-making in critical industries using optimization and machine learning, collaborating with product managers and engineers.

The Quantitative Analyst will develop stock selection models, enhance research infrastructure, conduct statistical analysis, and collaborate with investment teams to provide insights.

Lead clinical development for mRNA-based oncology programs: create and manage Clinical Development Plans, design studies and protocols, oversee execution and medical monitoring, drive regulatory interactions and submissions, collaborate cross-functionally and with external partners, mentor clinical staff, and apply innovative/digital approaches to accelerate evidence generation.

Own Roku's audience targeting and activation product surface end-to-end: define audience creation, curation, distribution, and activation across buying paths; set strategy and governance; shape modeled audiences and portability to external platforms; productize new targeting signals; improve self-serve targeting workflows; define success metrics and drive cross-functional execution with engineering, data science, sales, and partners.

Lead the AI Systems & Scale group to design and implement advanced AI systems for drug discovery, overseeing project management and technical leadership.

Lead enterprise Data & AI strategy and act as product and portfolio owner for all Data & AI initiatives. Define strategy, create product-aligned roadmaps, track delivery and value realization, govern portfolio discipline, and produce executive/investor/client communications. Build and lead a small team to ensure roadmap execution, prioritization, and fact-based reporting of outcomes.

The Staff Software Engineer will lead the development of cloud-side ML infrastructure, focusing on real-time computer vision and LLM applications, while mentoring team members and improving operational reliability.

The Staff ML Engineer will lead architecture decisions for ML infrastructure, operate real-time computer vision systems, and mentor engineers, ensuring high-quality ML deployment and operational excellence at SimpliSafe.

Develop advanced Vision-Language-Action models for robotaxis, leading data strategies and improving driving behaviors using machine learning infrastructure.

The Software Engineer will develop algorithms and code related to AI, robotics, and sensing technologies, impacting key systems at Zoox.

The Senior Machine Learning Engineer leads technical direction for ML systems focused on personalization and ranking, overseeing architecture and implementation while mentoring team members.

Lead architecture and technical strategy for Spotify's agent-powered features, partnering with cross-functional teams to build, evaluate, and scale LLM-driven systems. Provide servant leadership to multiple teams, manage ~5-10 people, influence product roadmaps, and drive consolidation of agent implementations onto a single scalable engine.

Lead design, development, deployment, and maintenance of scalable AI/ML tools and reusable pipelines to accelerate target and biomarker discovery. Collaborate with computational biologists, data scientists, and engineers to scope data and build solutions, provide tactical and strategic ML engineering support, drive SDLC best practices for Python packages and Docker images, and propose innovative AI/ML approaches aligned with industry standards.

Lead analytics delivery and develop data-driven initiatives using SQL, R, and Python. Build dashboards (Tableau, Power BI, Qlik), query Snowflake/Athena, apply NLP and ML (LDA, DBSCAN, BERT) to extract insights, support automation, monitoring, incident response, and collaborate with cross-functional Agile teams to optimize customer experience and operational KPIs.

Lead and coordinate external technology audit activities, perform technology risk assessments, develop control strategies for cloud, DevOps, and emerging technologies (AI/ML/Snowflake), document and evaluate ITGC/ITAC controls, track findings, and support audit readiness and remediation efforts.

Own end-to-end product design for an LLM-powered healthcare platform. Design and prototype intuitive, accessible interfaces for clinical users, collaborate with engineering, product, and clinical teams, and shape design culture and processes as an early-design hire.