Software Engineer, Machine Learning Infrastructure - Generative AI
DoorDash · San Francisco, CA; Sunnyvale, CA; Seattle, WA
About this role
About the Team
DoorDash’s GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalization to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is our evaluation platform — the unified evals backbone that lets teams measure, trace, and trust the quality of LLM and agent systems across the company, powering trace/score ingestion, LLM-as-judge workflows, agent simulations, and LLM observability for the tens of millions of daily requests flowing through our LLM Gateway. We also own core platform surfaces including the Agent Gateway, open-weights model serving and batch inference, guardrails, and cost attribution.
About the Role
You will join a small, high-leverage team building production infrastructure for Generative AI at DoorDash, with a primary focus on our evals and LLM observability platform: the systems that let teams evaluate, trace, and continuously improve the quality of LLM and agent products.…
Summary from DoorDash's official Greenhouse career feed — read the full description on the original posting ↗
The full job description lives on DoorDash's official careers page. AI Stack Jobs links you straight to it — we never sit between you and the employer.
More AI/ML roles at DoorDash
- 2026-08-17 New York, NY
- 2026-08-17 San Francisco, CA
- 2026-08-17 San Francisco, CA; Sunnyvale, CA; Los Angeles, CA; Seattle, WA; New York, NY
- 2026-08-17 San Francisco, CA; Seattle, WA; New York, NY; Los Angeles, CA; Chicago, IL; Austin, TX; Washington D.C.
- 2026-08-17 San Francisco, CA; Sunnyvale, CA; Seattle, WA; New York, NY
- 2026-08-17 San Francisco, CA; Seattle, WA; New York, NY