Machine Learning Jobs in Cambridge, MA

Lead technical design and delivery of production AI/ML and GenAI solutions (RAG, LLMs, agents). Build, tune, deploy, and monitor models and APIs, own MLOps practices, operate cloud AI workloads, ensure software quality and responsible AI, and partner with cross-functional stakeholders while mentoring engineers.

The AVP, Digital Portfolio Management oversees P&L for small business products, driving underwriting profitability and digital transformation through analytics, cross-functional collaboration, and strategic initiatives.

Seek an Enterprise Account Lead to drive revenue in life sciences by managing pharma accounts, leading sales cycles, and collaborating with technical teams to close deals.

The Senior Solution Architect leads the architectural strategy for finance systems, aligning technology with business goals, ensuring compliance, and driving innovation through AI and ML integration.

The Scientist will design novel antigens and evaluate vaccine responses using computational methods, collaborating with teams to achieve project goals in a startup environment.

The role focuses on developing and implementing digital strategies using AI and automation in pharmacology and drug development, managing partnerships, and ensuring compliance with industry regulations.

Lead development and deployment of AI/ML solutions for drug discovery by translating biomedical questions into scalable models, collaborating with scientists and engineering teams, validating model performance, defining evaluation metrics, and driving adoption across biomedical research stakeholders.

Individual contributor applied GenAI engineer/data scientist leading ML projects end-to-end. Builds and productionizes LLM and ML solutions, partners with business stakeholders, identifies AI/ML use cases, manages multiple projects, and communicates results with clear visualizations to deliver measurable business impact.

Develop tactical insights from large structured and unstructured datasets, build and validate ML models and AI tools, design scalable resilient distributed systems, collaborate with analytics and data teams, communicate results to technical and executive stakeholders, and influence departmental strategy while independently driving technical approaches.

The AI Sales Specialist will develop sales strategies, engage clients, manage relationships, negotiate contracts, and provide insights on AI technologies to drive business value for enterprise clients.

The Partner - AI & Analytics role involves leading AI strategy in life sciences, coordinating cross-functional teams, advising on AI-driven projects, and overseeing AI investments while maintaining communication with clients and staying current with AI developments.

The Principal Systems Architect will lead multidisciplinary engineering solutions, bridge knowledge gaps, mentor teams, and drive complex system challenges while ensuring stakeholder needs are met.

As an AI Research Scientist II, you will develop and prototype AI solutions, advance drug design campaigns, and publish research while collaborating cross-functionally on cheminformatics and bioinformatics.

Own end-to-end data science and ML features for logistics: problem framing, modeling, production deployment, monitoring, and cross-functional delivery. Focus areas include theft detection, routing intelligence, anomaly detection, and customer-facing alerting using geospatial and IoT sensor data.

Lead development and application of computational and statistical methods for biomarker discovery and patient segmentation using multimodal clinical, omics, and real-world data. Partner with statisticians and scientists to write and defend analysis plans, build predictive ML/DL models, coordinate biomarker analyses for trials and RWD, validate assays, mentor team members, and communicate results to support drug development and regulatory submissions.

Lead development and delivery of AI-powered features for digital and wealth management. Own product roadmap, translate business needs into product requirements, partner with engineering and data science on model development and deployment, measure product performance, ensure compliance in a regulated environment, conduct customer discovery, and support go-to-market and stakeholder communication.

The Head of Toxicology Innovation leads strategies to integrate AI and ML into toxicology, oversees labs in France and the US, and ensures high-quality safety assessments in drug development.

Develop and maintain software for grasping in robotics, integrate ML models, collaborate with a technical team, and participate in simulation testing.

Lead the development and integration of advanced safety systems for scientific AI applications, building a team and establishing a research strategy.

As a Product Lead for Software/Applied AI, you will own specific product areas, guiding full-stack product execution and cross-functional collaboration to build impactful scientific tools.

The AI Lab Research Engineer will develop scientific AI models for complex problems, design and deploy AI agents, and collaborate across disciplines in a lab environment.

The Director of Product Management leads product strategy and execution, aligning it with corporate goals by building customer relationships and managing product roadmaps, P&L, and market insights.

Lead a team of Principal Software Engineers to set technical strategy, contribute to system designs, and drive delivery while remaining technically active.

Lead multiple machine learning teams focusing on prediction and planning for autonomous vehicles, setting technical direction, and fostering organizational growth through innovative AI solutions.

As an AI Product Specialist at Kensho, you will drive market expansion, manage customer engagement, and leverage AI product strategies while collaborating across teams to ensure effective go-to-market execution for AI solutions.