Top AI & Machine Learning Jobs in Boston, MA

The Staff MLOps Platform Engineer will design and operate ML infrastructure, develop CI/CD pipelines, and support model deployment and monitoring, collaborating closely with data science teams.

Lead the development and deployment of foundation models integrating diverse data sources to enhance health insights and member experiences. Oversee AI strategy, team management, budget optimization, and ethical AI practices.

The Senior ML Platform Engineer will architect and maintain scalable ML infrastructure, develop MLOps platforms, implement CI/CD pipelines, and collaborate with cross-functional teams to enhance AI deployment.

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.

Lead WHOOP's AI strategy, developing intelligent systems to enhance health performance. Oversee cross-functional teams, ensure compliance, and foster innovation in AI applications.