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Senior Machine Learning Engineer, Core Algorithms

Whoop

San Francisco, CAOn-siteFull-time

About this role

Senior Machine Learning Engineer, Core Algorithms @ Whoop Senior Machine Learning Engineer, Core Algorithms Location Boston, MA Employment Type Full time Location Type On-site Department Machine Learning & Research WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. Our Data Science Core Algorithms team is responsible for developing the machine learning algorithms that power WHOOP's core performance insights across sleep, recovery, and exercise. By combining continuous physiological and behavioral data with cutting-edge machine learning techniques, scientific research, and domain expertise, we build scalable, production-ready algorithms that deliver accurate, personalized insights to millions of members. From advancing existing models to developing entirely new algorithms, the team plays a critical role in translating complex data into meaningful health and performance metrics. RESPONSIBILITIES: - 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 physiological insights and member impact - Participate in on-call rotations for data science services, ensuring uptime and performance in production environments QUALIFICATIONS: - Bachelor's Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred). - 4+ years of professional experience as a ML engineer, applied resea

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