Machine Learning Jobs in Cambridge, MA

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.

Manage enterprise customers through implementation, onboarding, configuration, training, and testing of Ambient.ai. Serve as technical liaison, drive adoption, measure KPIs, capture feedback, enable expansion, and support renewals while traveling up to 30%.

Lead the design and delivery of large-scale machine learning systems, mentoring engineers while driving technical strategy and collaboration across teams in AEC solutions.

The Senior Director leads R&D data strategy, focusing on AI and data governance to enhance portfolio decision-making, ensuring data quality and operational excellence.

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

The role involves leading product management for AI/ML solutions, ensuring customer focus, technological innovation, and solving complex problems collaboratively.

The Senior Solutions Architect II will provide technical expertise in AI/ML and cloud infrastructure, assisting customers with architecture, deployment, and optimization while collaborating with sales and product teams.

The role involves applying AI/ML methods in cheminformatics for drug discovery, developing models, and collaborating with teams to enhance workflows and project outcomes.

Lead design and development of AI-driven content generation engine, optimize technical architecture, and prototype new features, focusing on modular LLM integration and automated workflows.

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.

This role manages institutional client billing operations, ensuring accuracy in fee calculations, oversight of reporting, and implementation of training programs while leading a team.

The role involves leading advanced analytics in HR to build a data-driven culture, utilizing predictive models, and overseeing data integration and visualizations for workforce insights.

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 Technical Recruiter will lead full-cycle recruiting for engineering roles, partner with R&D leaders, and enhance candidate experience and employer brand.

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

Design, develop, and maintain algorithms for engineering applications, manage datasets, and implement machine learning workflows in an AI Copilot startup.

Develop microarchitecture design and RTL for ML/AI accelerator ASICs, collaborate with teams, and manage RTL implementation for high-performance designs.

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

The Vice President of Customer Success will lead strategies for customer onboarding, retention, and satisfaction while managing the Customer Success team and collaborating with executives to align customer experience with business goals.

Lead the transition to an AI-first company by managing a high-density engineering team, overseeing architecture, and driving product development for enterprise customers.

The Senior Software Engineer will lead technical areas, manage AI/ML projects, develop model services, APIs, and collaborate on design and UX to enhance cloud-based AI solutions.

As a Lead Machine Learning Engineer, you'll design and implement machine learning applications, collaborate with teams, ensure model performance, and build cloud-based infrastructures.

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

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

Conduct analysis of business processes to identify automation opportunities, participate in client engagements, assist in aligning AI use cases with business objectives, and manage functional aspects of AI projects.