Whoop

Senior Machine Learning Engineer (Data Science Algorithms)

Boston, Massachusetts, USA · Senior · Full-time

Sponsorship not specified$150k-$210kDetected 28 days ago

PythonAlgorithmsAWSGCPCloud PlatformsCI/CDMachine LearningData EngineeringData ScienceMLOpsClinical TrialsClinical ResearchResearchCollaboration

About the role

We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members.
Interested in the role, but don't meet every qualification?
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility.

As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
You will work at the intersection of data science, backend engineer, and cloud infrastructure - deploying robust, scalable, and reliable ML solutions build on physiological and behavioral data streams.
This role emphasizes strong coding skills, system design, and ability to deliver production-ready ML systems.

The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.

2+ years of experience applying advanced mathematical and statistical techniques
Bachelor's Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master's preferred).

At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success.
The U.S. base salary range for this full-time position is $150,000-$210,000.
Salary ranges are determined by role, level, and location.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance.
WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives.
Our data science algorithms teams are responsible for developing novel algorithms and features that expand our health and fitness capabilities with medical-grade metrics.
novel algorithms within the domains of women's health, multimodal longitudinal health insights, and

At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience.

This listing is sourced directly from Whoop's careers page and normalized into a canonical job model.