Machine Learning Engineer II - Health Insights

WHOOP is at the forefront of health and fitness technology, developing advanced wearables that help unlock human performance. The Health Insights team, where this role is positioned, focuses on creating innovative algorithms and features that expand their health monitoring capabilities across women's health, medical device-grade metrics, wellness monitoring, and longevity research.

As a Machine Learning Engineer II, you'll be integral to developing and deploying ML systems that deliver personalized health metrics to millions of users. The role combines data science, backend engineering, and health research, requiring expertise in building scalable ML solutions using physiological and behavioral data streams. You'll work with cutting-edge technology while contributing to meaningful health innovations.

The position offers an opportunity to work with a talented team in Boston, focusing on robust system design, performance, and reliability in production. You'll be involved in the full ML lifecycle, from architecture to deployment, ensuring the delivery of high-quality health monitoring features. The role requires strong technical skills in Python, ML frameworks, and modern MLOps practices, combined with an understanding of health monitoring concepts.

WHOOP values diversity and encourages applications even if candidates don't meet every qualification. They emphasize character alongside experience and are building an inclusive environment where talented individuals can make significant contributions to advancing health technology. The company's mission to improve human performance through deep understanding of body metrics makes this an exciting opportunity for those passionate about the intersection of technology and health.