WHOOP is looking to develop novel algorithms and features for their health and fitness wearable to expand health capabilities, including women's health, medical device-grade metrics, wellness monitoring, longevity research, and emerging health insights. The Senior Machine Learning Engineer will design, build, and productionize ML systems to deliver personalized health metrics to millions of members by leveraging physiological and behavioral data.
Requirements
- Proven expertise working with time series data (wearable, physiological, or high-frequency sensor data strongly preferred).
- Experience designing and deploying ML inference systems at scale: both real-time streaming and large-scale batch pipelines.
- Strong coding skills in Python (scientific stack) and SQL, with a track record of writing clean, production-quality code.
- Proven experience deploying and maintaining ML systems on cloud platforms (AWS or GCP)
- Working familiarity with MLOps best practices: model versioning, CI/CD for ML, observability, and monitoring for inference systems.
- Ability to reason about and design for performance trade-offs (latency vs. throughput vs. cost) when building ML inference systems.
- Strong understanding of backend service development (APIs and service reliability) as it applies to serving ML models at scale.
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 health insights and member impact.
- Participate in on-call rotations for data science services, ensuring uptime and performance in production environments.
Other
- 5+ years of professional experience as a Machine Learning Engineer or Software Engineer with focus on ML systems.
- Strong communication skills to collaborate across engineering, research, and product teams.
- 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.
- WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility.
