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 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.