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.