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.
The Health Insights team is responsible for developing novel algorithms and features that expand our health capabilities. Our work spans several key areas, including women’s health, medical device-grade metrics, 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 Senior Machine Learning Engineer on our Health Insights team, you will help develop and deploy machine learning systems that deliver meaningful, personalized health metrics to millions of members. You will work at the intersection of data science, backend engineering, and health research, contributing to scalable ML solutions built on physiological and behavioral data streams. This role emphasizes robust system design, performance, and reliability in production.
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 researcher, or software engineer with a focus on ML systems
- Strong coding skills in Python with a track record of writing clean, production-quality code
- Experience designing, deploying and operating ML inference systems at scale (real-time streaming and/or large-scale batch)
- 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
- Preferred: 2+ years of experience applying advanced mathematical and statistical techniques
- Preferred: Experience working with time series data (wearable, physiological, or high-frequency sensor data)
WHOOP Boston, Massachusetts, USA Office
1 Kenmore Sq, Boston, MA, United States, 02215
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