Senior Machine Learning Engineer, WHOOP

• Bachelor’s degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred)
• 4+ years of professional experience as a Machine Learning Engineer or Software Engineer building production ML-enabled systems
• Proven experience working with time series data (wearable/physiological/high-frequency sensor data preferred)
• Experience designing, deploying, and operating ML inference systems at scale (real-time streaming and/or large-scale batch)
• Strong coding skills in Python with a track record of writing clean, well-tested, production-quality code
• Strong fundamentals in backend/service development (APIs, reliability, monitoring, debugging) as it relates to serving ML models
• Experience deploying and maintaining ML systems on cloud platforms (AWS or GCP), including CI/CD and observability practices
• Familiarity with applied ML development (frameworks, evaluation criteria, performance validation) and translating prototypes into production systems
• Interested in the role, but don’t meet every qualification? We encourage you to still apply!

Desirable

• The Health team is responsible for developing novel algorithms and features that expand our health sensing capabilities
• Our work spans several key areas, including women’s health, software as a medical device, wellness monitoring, longevity research, and emerging health insights
• We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members
• As a Machine Learning Engineer on our Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health metrics to millions of members
• You will work at the intersection of data science, backend engineering, and cloud infrastructure—deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams
• This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML services
• Create, improve, and maintain production services that provide analysis for health features in collaboration with Data Scientists and MLOps Engineers
• Collaborate with Data Engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance
• Work alongside data scientists to translate research prototypes into production ML systems optimized for scale, latency, and cost efficiency
• Collaborate with researchers and product teams to align model development with health insights and member impact
• Participate in on-call rotations for data science services, ensuring uptime and performance in production environments
• This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office