Staff ML Engineer, AI Platform

OmegaHires • San Francisco, CA

1d • Onsite

About The Position

You'll build evaluation and release gates that let teams ship confidently. Observability that surfaces quality issues before clinicians do. Debug tooling that makes reproducing regressions fast. The chart context retrieval layer that assembles patient history into model-ready inputs.

Requirements

• 7+ years in software engineering, 3+ focused on ML infrastructure, platform engineering, or data systems
• Staff-level scope: owned cross-cutting infrastructure, influenced technical direction across multiple teams
• Strong backend fundamentals in Python, TypeScript, or similar
• Built eval systems, data pipelines, or ML observability infrastructure
• Comfortable on both the ML and Eng sides of MLOps
• Track record of platform work that measurably accelerated other teams
• In SF, 3x/week in-person

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed