Machine Learning Jobs in Cambridge, MA

Lead development of motion planning and prediction ML models for Level 4 autonomous vehicles. Design and productionize behavior models using deep learning, generative AI, and reinforcement learning. Deploy solutions to vehicle fleets, collaborate with perception, simulation, data platform and integration teams, and report progress to leadership.

Drive business development in biotech and biopharma, managing strategic accounts and closing enterprise deals. Partner with cross-functional teams for project execution and provide customer insights to shape product direction.

As a Research Scientist, you will develop innovative machine learning techniques for clinical applications, design large language models, and collaborate with engineering teams while advancing NLP research.

Serve as a customer-facing technologist partnering with sales to position, demo, and package Forrester AI solutions; translate technical AI capabilities into business value, support deal structuring and negotiations, develop enablement and adoption assets, gather product feedback from the field, and drive client retention through training and value realization.

The Machine Learning Scientist will develop AI frameworks for predictive modeling in oncology, collaborating with teams to enhance drug R&D efforts through advanced machine learning techniques and multimodal data integration.

Conduct research in machine learning focusing on AI, develop models, design experiments, collaborate on product ideas, and mentor researchers.

The role requires analyzing large datasets for biomarkers, integrating multi-omics data, and developing new statistical methods, collaborating with interdisciplinary teams.

Lead machine learning projects, collaborate with business partners, and manage data processes from research to production to drive business impact.

The Senior Product Manager will lead the lifecycle of secure payment products, translating customer needs into requirements, driving cross-functional collaboration, and innovating through AI and ML.

Lead product strategy, roadmap, and KPIs for BizzyCar’s agentic AI products. Own the AI Agent, collaborate cross-functionally throughout the SDLC, design rapid-cycle tests, gather requirements, commercialize features, and represent the company externally.

Drive discovery and delivery for Manifest, translating operational needs into product requirements, roadmaps, and shipped AI-enabled capabilities. Collaborate with engineering, design, and customers, support deployments, track usage and impact, and ensure adoption in mission-critical defense logistics environments.

Use machine learning and advanced statistics to analyze high-dimensional clinical and multi-modal real-world data for patient stratification, biomarker discovery, mechanistic insights, and reverse translation to inform drug development across neuroscience, immunology, and cardiovascular programs.

The Staff Software Engineer will lead software development for advanced surgical imaging systems, integrating AI and machine learning techniques, and improving software processes in compliance with FDA standards.

Generate:Biomedicines invites interested candidates to submit resumes for potential future openings in machine learning and biological engineering.

The Director of AI Empowerment will lead initiatives to drive adoption of AI and GenAI tools across Zelis, enhance productivity, and ensure alignment with business outcomes through training, evaluation of emerging technologies, and collaboration with executive leadership.

The Principal Scientist will drive AI integration in oncology target discovery, analyze multimodal datasets, and lead cross-functional collaborations to enhance decision-making in drug development.

The Senior Product Manager will engage with enterprise customers, lead complex integrations, define product strategy, and collaborate across teams to enhance scalable solutions.

The Principal Scientist will lead AI/ML efforts in cancer biology, driving data science methodologies for oncology drug target discovery, collaborating across teams to enhance innovation and validate new therapeutic strategies.

Lead the development of pricing intelligence and reconciliation systems for travel services, focusing on AI-driven insights and cross-functional execution.

Lead research at Galois by developing externally funded programs in Formal Methods, collaborating with teams, mentoring staff, and engaging with clients.

The role involves developing digital engineering architectures, collaborating with teams on data solutions, and applying systems engineering principles for national security projects.

This role involves owning customer engagements, building demos, performing technical discovery, and creating reusable assets in AI solutions.

The Head of Data Science & AI Engineering leads Ipsen's technical strategy in advanced analytics and AI, overseeing data products, mentoring teams, and ensuring compliance in a dynamic biopharmaceutical environment.

The Client Partner will manage strategic relationships with Life Sciences companies, focusing on commercial strategies, P&L management, and driving growth in analytics, AI, and cloud platforms.

The Account Director will manage client relationships, develop strategies, drive account planning, ensure client success, and generate revenue forecasts in the life sciences sector.