Senior AI Developer — logistics & marketplace ML

DoorDash is hiring a Senior Senior AI Developer — logistics & marketplace ML on the Marketplace intelligence team (Hybrid · San Francisco, United States). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

DoorDash operates one of the largest on-demand logistics marketplaces in North America, connecting consumers, merchants, and Dashers with real-time dispatch and pricing.

Senior AI Developer (SF hybrid): improve ETA prediction, merchant ranking, support copilots, and fraud signals using classical ML and modern LLM tooling.

Impact is measured in seconds saved per delivery, support deflection, and marketplace liquidity — not offline accuracy alone.

About DoorDash

• Public technology company headquartered in San Francisco; nationwide US and expanding internationally.
• Engineering org spans logistics, ads, grocery, and platform ML with petabyte-scale data.
• AI teams partner tightly with operations research and product on experimentation.

What you will do

• Own features end-to-end: offline training, A/B tests, and production monitoring.
• Build GenAI tools for support and merchant onboarding with guardrails and citations.
• Improve forecasting models for peak events (holidays, sports) with causal analysis.
• Collaborate on feature stores and low-latency inference for dispatch-critical paths.

Stack & environment

• Python, PyTorch, Spark, Snowflake, LangChain for internal copilots.
• Hybrid San Francisco SOMA; on-call rotation for critical ML services.

What we look for

• Marketplace, logistics, or ads ML experience at scale.
• Strong SQL and experimentation culture; comfort with ambiguous product goals.
• US work authorization required.