Staff Applied Machine Learning Scientist

WHOOP·Boston, MA·Posted 6 October 2026

Apply with a tailored CV View on WHOOP's site

About the role

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 Staff Applied Machine Learning Scientist to develop and continuously improve production-ready edge algorithms that transform sensor data into accurate, reliable, and real-time physiological insights. In this role, you will develop innovative approaches that combine deep learning, machine learning, and signal processing to deliver meaningful value to WHOOP members while optimizing for accuracy, latency, power, and scalability across wearable platforms. You will work closely with a cross-functional team of scientists, engineers, physiologists, and hardware experts to solve challenging problems at the intersection of wearable sensing, physiological modeling, and applied AI. You will develop novel modeling approaches, and own complex algorithmic problems from early development through production deployment and continuous improvement. Your…

This is a summary of the advert. The full description and the application are on WHOOP's careers site.

Apply faster with Prepper

A version of your CV tailored to this Staff Applied Machine Learning Scientist role.
A cover letter written from your CV and this advert.
Prepper can fill in WHOOP's application form and send it once you approve.
The application saved in your tracker, with reminders to follow up.

Start free

More roles at WHOOP

Prepper is independent and not affiliated with WHOOP. Roles are listed from the employer's public careers system and removed when they close.