Build and maintain production ML services for health feature analytics with data scientists and MLOps.
Collaborate with data engineers to improve ML data pipelines, tooling, and validation.
Translate research prototypes into production ML systems optimized for scale and latency.
Align model development with physiological insights and member impact.
On-call rotations to ensure uptime and performance.

🎯 Requirements

Bachelor's in CS/DS/Math or related; Master's preferred.
4+ years ML engineer/applied researcher/software with ML systems.
Strong Python; production-quality code.
Experience deploying ML inference at scale (real-time or batch).
Backend fundamentals: APIs, reliability, monitoring, debugging.
Cloud platforms (AWS or GCP) with CI/CD and observability.

🎁 Benefits

Equity package
Comprehensive benefits
Inclusive, diverse workplace

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