Staff Applied Machine Learning Scientist

Posted

WhoopBoston, MAfull-timestaff

Tech Stack

Responsibilities

  • Design advanced algorithms combining signal processing, physiological modeling, and machine learning for physiological time-series data.
  • Own the development of production-ready edge algorithms that transform sensor data into real-time insights on wearable platforms.
  • Analyze large-scale wearable sensor datasets to identify gaps and drive data-informed algorithm improvements.
  • Define evaluation methodologies and performance metrics to assess algorithms from development to deployment.
  • Collaborate with Firmware, Software, Hardware, and Product teams to translate algorithmic innovations into production features.

Benefits

  • Equity
  • Health Insurance

Culture

Cross-Functional TeamsMission-DrivenInclusive Hiring

Requirements

Required: MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Machine Learning, Applied Mathematics, or a related quantitative field
Regions: Us

Get jobs like this in your inbox

Weekly Git, Python, TypeScript hiring trends and salary data — free.

Join 8 engineers getting weekly insights

Get job market intelligence in your inbox

Free weekly insights on tech hiring trends, salaries, and in-demand stacks.

Already a subscriber? Sign in