Jobs Companies Whoop Senior Machine Learning Engineer, Core Algorithms

About this Senior Machine Learning Engineer, Core Algorithms role at Whoop

Whoop · Onsite · Boston, MA

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 Core Algorithms team is responsible for developing the machine learning algorithms that power WHOOP's core performance insights across sleep, recovery, and exercise. By combining continuous physiological and behavioral data with cutting-edge machine learning techniques, scientific research, and domain expertise, we build scalable, production-ready algorithms that deliver accurate, personalized insights to millions of members. From advancing existing models to developing entirely new algorithms, the team plays a critical role in translating complex data into meaningful health and performance metrics.

RESPONSIBILITIES:

  • Create, improve, and maintain production services that provide analysis for health features in collaboration with data scientists and MLOps engineers
  • Collaborate with data engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance
  • Work alongside data 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
  • Participate in on-call rotations for data science services, ensuring uptime and performance in production environments
  • QUALIFICATIONS:

  • Bachelor's Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred). 
  • 4+ years of professional experience as a ML engineer, applied researcher, or software engineer with a focus on ML systems
  • Strong coding skills in Python with a track record of writing clean, production-quality code
  • Experience designing, deploying and operating ML inference systems at scale (real-time streaming and/or large-scale batch)
  • Strong fundamentals in backend/service development (APIs, reliability, monitoring, debugging) as it relates to serving ML models
  • Experience deploying and maintaining ML systems on cloud platforms (AWS or GCP), including CI/CD and observability practices
  • Familiarity with applied ML development (frameworks, evaluation criteria, performance validation) and translating prototypes into production systems
  • Preferred: 2+ years of experience applying advanced mathematical and statistical techniques
  • Preferred: Experience working with time series data (wearable, physiological, or high-frequency sensor data) 

  • 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 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.
    Ready to apply to Whoop?
    Apply to Whoop

    How this ML Engineer salary compares

    This role pays $180,000/yrbelow the typical range for ML Engineer roles.

    $157,625 median $182,500 $214,550

    Typical range $180,000–$201,250/yr, from 16 comparable ML Engineer listings on JobsRadar (pay annualized to USD). See ML Engineer salary insights →

    Similar jobs

    Sign up for suggestions tailored to the jobs you open and the searches you save.

    More jobs at Whoop

    See all jobs at Whoop →

    Apply now
    🤖

    Whoa — hold up

    JobsRadar was built for real people having a rough time in their job search — not for automated requests. You're clicking way too fast and you're now temporarily blocked.

    Come back later. If you're genuinely job hunting, we've got your back — just act like a human.

    Catch your next role the second it’s posted.

    Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

    Create free account

    Free forever · takes 30 seconds · already have one?

    Get an edge on your job hunt.

    Join our Telegram channel for the stuff that helps you land the role — salary benchmarks, the weekly market pulse, and new-feature drops. No spam, just signal.

    Join the channel — it's free