Senior Machine Learning Engineer, Core Algorithms

Overview In this role you will help build production ML systems powering WHOOP's core performance insights. You will work with data scientists and MLOps engineers to deliver scalable analyses that translate physiological data into meaningful metrics. You’ll bridge research prototypes and production, balancing speed, latency, and cost, to impact millions of members. This is a collaborative, impact-focused opportunity at the heart of WHOOP's mission to unlock human performance. Compensation / Benefitsbase salary plus equitygenerous equity packagebenefitsopportunity to relocate to Boston, MAcareer growth and impact Responsibilities Create, improve, and maintain production services for health feature analyses in collaboration with data scientists and MLOps engineers Collaborate with data engineers to enhance ML data pipelines, tooling, and validation systems Translate research prototypes into production ML systems optimized for scale, latency, and cost Partner with researchers and product teams to align model development with physiological insights and member impact Participate in on-call rotations to ensure uptime and performance of data science services Key requirements Bachelor in Computer Science, Data Science, Applied Mathematics, or related field (Master’s preferred)4+ years of professional experience in ML engineering, applied research, or software engineering with a focus on ML systems Strong Python coding skills and production-quality code Experience deploying and operating ML inference systems at scale (real-time or batch)Backend/service development fundamentals (APIs, reliability, monitoring, debugging) for serving ML models Experience deploying ML systems on AWS or GCP with CI/CD and observability Familiarity with applied ML development and translating prototypes into production Preferred: experience applying advanced mathematical and statistical techniques Preferred: experience with time series data (wearable, physiological, or high-frequency sensors)collaborationproblem solvingreliability PythonML inference at scaleAPI/backend development