# Staff Applied Machine Learning Scientist (Health) at Whoop

- Company: Whoop
- What the company does: Backed by SoftBank VF and IVP.
- Company website: https://www.whoop.com/
- Type: Startups (AI role)
- Level: Senior
- Location: Boston, MA
- Work setup: On-site
- Pay: $170K to $230K base salary per year (USD)
- Posted: 2026-10-09
- Apply by: 2026-11-23
- Apply: https://jobs.ashbyhq.com/whoop/9ab3c65e-96ff-4471-9e79-1c04fed92000?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/whoop-staff-applied-machine-learning-scientist-health/

## About the role

Lead the design, development, and validation of machine learning and statistical methods for Health features, using wearable physiological and behavioral data and related member sources. Frame ambiguous health and product questions into well-scoped modeling or study problems, with clear performance criteria, evaluation plans, and honest treatment of uncertainty and failure modes. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Master's or PhD (or equivalent professional experience) in Biomedical Engineering, Electrical Engineering, Computer Science, Applied Mathematics, Biostatistics, Bioinformatics, Physiology, or a related quantitative or health-science field
- 7+ years of professional experience developing algorithms, applied ML models, or statistically rigorous analyses in health, wearables, medical devices, digital health, or a closely related domain
- Demonstrated Staff-level technical leadership: setting methodological standards others reuse, influencing multi-team outcomes, mentoring senior ICs, and making prioritization calls under uncertainty. End-to-end project ownership alone is not sufficient
- Strong foundation in statistics (Bayesian and frequentist) and machine learning for time-series and longitudinal data, with the ability to draw defensible conclusions from observational, noisy, or otherwise messy real-world data
- Experience with wearable or physiological signals (PPG, IMU, HR/HRV, sleep, activity, temperature, or similar) or a closely related adjacent time-series domain
- Hands-on experience designing studies or evaluation protocols end-to-end: data curation, metric choice, validation splits, subgroup and failure analysis, and documentation of assumptions and limitations

Tags: Machine Learning & AI Research

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/whoop-staff-applied-machine-learning-scientist-health/