Senior Machine Learning Engineer, Health

📋 Description Create, improve, and maintain production services for health feature analysis with DS and MLOps. Collaborate with Data Engineers to improve ML data pipelines and validation. Translate research prototypes into production ML systems optimized for scale and latency. Collaborate with researchers and product teams to align models with health insights. Participate in on-call rotations to ensure uptime and performance. 🎯 Requirements Bachelor’s degree in CS/Data Science/Applied Math (Master’s preferred). 4+ years of professional experience building production ML-enabled systems. Proven experience with time series data (wearable/physiological data preferred). Experience deploying ML inference systems at scale (real-time streaming or batch). Strong Python coding skills with production-quality code. Experience deploying ML systems on AWS or GCP, including CI/CD and observability. 🎁 Benefits Generous equity package. Benefits package included.