Top AI & Machine Learning Jobs

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.

Develop and deploy scalable ML systems for health metrics from physiological data. Collaborate with data scientists, MLOps, and engineers to productionize models, improve data pipelines, ensure reliability, and support on-call operations to maintain uptime and performance.

Design, build, and productionize scalable ML systems for health features using physiological time-series data. Collaborate with data scientists, engineers, and product teams to translate prototypes into reliable, cost-efficient production services, improve pipelines and tooling, and participate in on-call rotations for data science services.

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.

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.