Tech Stack
Responsibilities
- Lead the design, development, and validation of machine learning and statistical methods for Health features using wearable physiological data.
- Frame ambiguous health and product questions into well-scoped modeling or study problems with clear performance criteria and evaluation plans.
- Set the methodological and quality standard for a Health domain, establishing reusable evaluation practices and documentation.
- Develop and refine approaches for time-series, longitudinal, and multimodal data, including data curation and labeling strategies.
- Partner with Machine Learning Engineers to translate validated methods into production-ready systems.
Benefits
- Equity
- Gym Membership
- Health Insurance
Culture
Mission-DrivenInclusive HiringMentorship ProgramCross-Functional Teams
Requirements
Required: 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
Regions: Us
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About Whoop
Industry: fitness technology
Size: medium
WHOOP is a wearable technology company that provides performance optimization and physiological insights to help members understand their bodies.
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