Whoop
Senior Machine Learning Engineer, Insights
Boston, MA · Senior · Full-time
Sponsorship not specified$150k-$210kDetected 1 day ago
PythonAlgorithmsAWSGCPCloud PlatformsCI/CDMachine LearningData EngineeringData ScienceMLOpsClinical TrialsClinical ResearchMedical DevicesResearchCollaboration
About the role
- 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.
- 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.
Responsibilities
- Collaborate with data engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance
- Collaborate with researchers and product teams to align model development with physiological insights and member impact
- As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
- This role emphasizes robust system design, performance, and reliability in production.
Requirements
- 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)
- 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
- The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
- Strong fundamentals in backend/service development (APIs, reliability, monitoring, debugging) as it relates to serving ML models
Nice to have
- 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).
- 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)
Compensation
- 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.
Benefits
- 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.
- 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.
- Create, improve, and maintain production services that provide analysis for health features in collaboration with data scientists and MLOps engineers
- Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
Company info
- 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.
Equal opportunity
- WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.
This listing is sourced directly from Whoop's careers page and normalized into a canonical job model.