Senior Machine Learning Engineer (Health) jobs in United States
cer-icon
Apply on Employer Site
company-logo

WHOOP · 1 day ago

Senior Machine Learning Engineer (Health)

WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance and healthspan. As a Senior Machine Learning Engineer on the Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health metrics to millions of members.

Consumer ElectronicsFitnessSportsWearablesWellness
check
H1B Sponsor Likelynote

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 health insights and member impact
Participate in on-call rotations for data science services, ensuring uptime and performance in production environments

Qualification

Machine Learning EngineeringPythonCloud PlatformsTime Series DataSQLMLOps Best PracticesBackend Service DevelopmentSystem DesignCommunication Skills

Required

Bachelor's Degree in Computer Science, Data Science, Applied Mathematics, or a related field
5+ years of professional experience as a Machine Learning Engineer or Software Engineer with focus on ML systems
Proven expertise working with time series data (wearable, physiological, or high-frequency sensor data strongly preferred)
Experience designing and deploying ML inference systems at scale: both real-time streaming and large-scale batch pipelines
Strong coding skills in Python (scientific stack) and SQL, with a track record of writing clean, production-quality code
Strong communication skills to collaborate across engineering, research, and product teams
Proven experience deploying and maintaining ML systems on cloud platforms (AWS or GCP)
Working familiarity with MLOps best practices: model versioning, CI/CD for ML, observability, and monitoring for inference systems
Ability to reason about and design for performance trade-offs (latency vs. throughput vs. cost) when building ML inference systems
Strong understanding of backend service development (APIs and service reliability) as it applies to serving ML models at scale

Preferred

Master's degree in a related field

Benefits

Benefits
Generous equity package

Company

WHOOP is a fitness tech company that offers wearables that track sleep, recovery, and performance.

H1B Sponsorship

WHOOP has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (32)
2024 (18)
2023 (15)
2022 (5)
2021 (17)
2020 (6)

Funding

Current Stage
Late Stage
Total Funding
$404.75M
Key Investors
SoftBank Vision FundIVPFoundry Group
2021-08-30Series F· $200M
2020-10-28Series E· $100M
2019-11-12Series D· $55M

Leadership Team

leader-logo
Will Ahmed
Founder & CEO
linkedin
leader-logo
Aurelian Nicolae
Co-Founder & Chief Hardware Engineer
linkedin
Company data provided by crunchbase