Staff Applied Machine Learning Scientist (Health)

Posted

WhoopBoston, MAfull-timestaff

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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