Whoop
Senior Machine Learning Engineer, Health
Boston, MA · Senior · Full-time
Sponsorship not specified$150k-$215kDetected 1 day ago
PythonAlgorithmsAWSGCPCloud PlatformsCI/CDMachine LearningData EngineeringData ScienceMLOpsClinical TrialsClinical ResearchMedical DevicesResearchLeadershipCollaboration
About the role
- 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.
- 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.
Responsibilities
- Collaborate with Data Engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance.
- This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML services.
Requirements
- 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.
- 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.
- Proven track record driving measurable improvements in system performance, reliability, and/or cost at scale, and influencing cross-functional technical direction.
- The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
- While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.
- 4+ years of professional experience as a Machine Learning Engineer or Software Engineer building production ML-enabled systems.
- Strong fundamentals in backend/service development (APIs, reliability, monitoring, debugging) as it relates to serving ML models.
- Preferred
- Experience developing ML-enabled software in a regulated or quality-managed environment (e.g., QMS-controlled development for SaMD/medical devices), including documentation, traceability, validation/verification practices, and change control.
- Demonstrated technical leadership through architecture/design ownership, setting engineering standards, and raising quality via reviews and mentorship.
- 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.
- Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
Nice to have
- Bachelor's degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master's preferred).
- Proven experience working with time series data (wearable/physiological/high-frequency sensor data preferred).
Compensation
- At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our cor
Benefits
- 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 team is responsible for developing novel algorithms and features that expand our health sensing capabilities.
- As a Senior 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.
- Create, improve, and maintain production services that provide analysis for health features in collaboration with Data Scientists and MLOps Engineers
- Collaborate with researchers and product teams to align model development with health insights and member impact.
This listing is sourced directly from Whoop's careers page and normalized into a canonical job model.