Top AI & Machine Learning Jobs in Boston, MA

Design, build, and operate scalable, reliable ML inference systems, backend services, and data pipelines for health features. Translate research prototypes to production, ensure monitoring/validation within a quality-managed SaMD environment, provide technical leadership, and participate in on-call rotations to maintain uptime and reliability.

The Staff Machine Learning Engineer will design and build scalable ML systems for health insights, collaborating with cross-functional teams to ensure compliance and quality in production-ready services.

Lead WHOOP's cloud-based core algorithm teams to develop, validate, and productionize models for sleep, recovery, and training. Drive technical vision, cross-functional alignment with Sensor Intelligence and Hardware, improve ML lifecycle practices (experiment tracking, deployment, monitoring), and manage and grow applied ML scientists and engineers to deliver better member experiences.

Lead WHOOP's strategy for transforming sensor data into real-time intelligence, managing teams, delivering features, and driving technical direction in machine learning and embedded systems.

The Technical Lead for ML Operations at WHOOP will drive the strategy and execution of ML infrastructure, lead a small team, design scalable systems, and collaborate with multiple stakeholders to enhance the ML platform.

Develop and scale machine learning systems for physiological signal processing. Design and train models, ensure compliance, and mentor team members while collaborating with cross-functional teams.

As a Senior Machine Learning Engineer in the Health team, you'll design and productionize ML systems for personalized health metrics, collaborating with data scientists and engineers to optimize performance and ensure service reliability.

The role involves designing and optimizing large-scale multimodal AI models, conducting applied research, and collaborating with cross-functional teams to deliver impactful member value at WHOOP.

Develop and scale machine learning systems to enable AI coaching, collaborate across teams for member insights, and contribute to architectural decisions.

The Senior AI Researcher will design and optimize multimodal models, conduct applied research, and collaborate with teams to enhance WHOOP's AI systems.