Improve ML data pipelines, tooling, and validation systems that support robust model performance.
Work alongside applied ML scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency.
Collaborate with researchers and Product teams to align model development with physiological insights and member impact.
Build operational maturity within the Core Algorithms team as well as the broader Machine Learning team, developing processes for observability, alerting, and incident response (including on-call rotations).
Develop applied ML operational infrastructure (frameworks, evaluation criteria, performance validation).
Mentor other engineers and applied ML scientists on production practices, raising the bar through code and system design review.
Qualifications
Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred).
4+ years of professional experience as an ML engineer, applied researcher, or software engineer with a focus on ML systems.
Experience working with time series data (wearable, physiological, or high-frequency sensor data).
Strong coding skills in Python with a track record of writing clean, production-quality code.
Experience designing, deploying and operating ML production systems at production scale (millions of users, real-time streaming and/or large-scale batch).
Experience deploying and maintaining ML backend services (APIs, reliability, observability, monitoring; AWS or GCP).
Preferred: 2+ years experience applying advanced mathematical and statistical techniques.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! 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. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.
