# Senior Applied ML Algorithm Engineer at Whoop

- Company: Whoop
- Status: Open
- Workplace: On-site
- Location: Boston, MA
- Level: Senior
- Discipline: AI & ML
- Employment: Full-time
- Salary: $150K–215K
- Posted: 2026-10-09
- Skills: Sensor Intelligence
- Apply: https://jobs.ashbyhq.com/whoop/93218baa-4989-4141-b500-32f937e72131

## Description

At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep.

We are seeking a Senior Applied ML Algorithm Engineer to develop and deploy signal processing algorithms and machine learning models that transform raw sensor data into accurate, reliable, and real-time physiological insights on WHOOP devices. In this hands-on role, you will own algorithm development from data analysis, model training, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Data Science, Firmware, Hardware, and domain experts, you will deliver robust on-device algorithms that improve the member experience while meeting the power, memory, compute, and latency constraints of wearable hardware.




RESPONSIBILITIES:

 - Design and develop algorithms that combine signal processing, feature extraction, and machine learning to derive meaningful physiological insights from wearable sensor data.

 - Analyze large-scale, noisy sensor datasets to train and evaluate models, identify performance gaps, and improve accuracy, robustness, and generalization across diverse members and real-world conditions.

 - Translate algorithm prototypes and trained models into production-ready C/C++ implementations, optimizing signal processing pipelines and on-device inference for a

More Whoop roles: https://deviantjobs.com/companies/whoop