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Staff Software Engineer, Machine Learning (Health)
BOSTON · US
$205K–$285K
Full-time
STAFF
About the Role
WHOOP seeks a Staff Software Engineer to design, build, and operate production ML systems delivering personalized health insights. This role involves collaborating with ML scientists to deploy algorithms at scale, building inference services, and ensuring platform reliability. It requires deep experience in distributed systems and production ML platforms.
Responsibilities
- Design and maintain production services for health features
- Lead architecture of scalable ML inference systems, APIs, and backend services
- Collaborate with data platform teams to improve ML data pipelines and validation frameworks
- Translate research prototypes into production systems for deployment and monitoring
- Drive operational excellence through monitoring, observability, and incident response
- Participate in on-call rotations for ML and data services
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field (Master's preferred)
- 7+ years experience as Software Engineer, ML Engineer, or related role building large-scale distributed systems or production ML platforms
- Strong coding skills in Python with production-quality code
- Strong backend and service development skills (APIs, distributed systems, reliability, monitoring)
WHOOP
Boston · US · 800+ employees
WHOOP is a wearable technology company that produces a health tracker for performance, sleep, and recovery monitoring. It focuses on biometric data analysis for athletes and general fitness enthusiasts.
