Staff Software Engineer, Machine Learning (Health)

WHOOP is an advanced health and fitness wearable company focused on unlocking human performance. They are seeking a Staff Software Engineer for their Clinical Health team to design, build, and operate production systems that deliver personalized health insights using machine learning and backend engineering.

Responsibilities:

• Design, build, and maintain production services that deliver health features, in close collaboration with Applied ML Scientists and ML Research Engineers
• Lead the architecture and development of scalable ML inference systems, APIs, and backend services optimized for reliability, latency, and cost efficiency
• Collaborate with Data Platform teams to improve ML data pipelines, tooling, feature delivery systems, and validation frameworks that support robust model performance
• Work alongside Applied ML Scientists to translate research prototypes into production systems that can be deployed, monitored, and operated at scale
• Partner with the Digital Health team on algorithmic performance specifications, validation and verification planning, and the design of SPA or algorithm validation studies
• Drive operational excellence through monitoring, observability, incident response, and reliability improvements for ML-powered services
• Collaborate with researchers, product teams, and engineering stakeholders to align platform investments with health insights and member impact
• Participate in on-call rotations for ML and data services, ensuring uptime, performance, and reliability in production environments
• Provide technical leadership through architecture reviews, engineering standards, mentorship, and cross-functional collaboration