Senior Machine Learning Engineer, Insights

@ Whoop

Senior Machine Learning Engineer, Insights

Posted 2 weeks ago

About the job

WHOOP develops health and fitness wearables focused on unlocking human performance. The Senior ML Engineer will build scalable ML systems for personalized health metrics, working at the intersection of data science, engineering, and health research, based in Boston.

Requirements

4+ years of ML experience
Proficient in Python coding
Experience deploying ML systems
Backend development skills
Cloud platform experience

Qualifications

Bachelor's in CS, Data Science, Math
Strong coding and system design skills
Experience with ML inference at scale
Knowledge of cloud platforms
Familiarity with time series data

Full job description

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.

The Health Insights team is responsible for developing novel algorithms and features that expand our health capabilities. Our work spans several key areas, including women’s health, medical device-grade metrics, wellness monitoring, longevity research, and emerging health insights. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members.

As a Senior Machine Learning Engineer on our Health Insights team, you will help develop and deploy machine learning systems that deliver meaningful, personalized health metrics to millions of members. You will work at the intersection of data science, backend engineering, and health research, contributing to scalable ML solutions built on physiological and behavioral data streams. This role emphasizes robust system design, performance, and reliability in production.

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.

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