# Software Engineer, Machine Learning Platform - Gen AI at DoorDash USA

- Company: DoorDash USA
- Status: Open
- Workplace: On-site
- Location: San Francisco, CA; Sunnyvale, CA; Seattle, WA
- Level: Mid-level
- Discipline: AI & ML
- Employment: Full-time
- Salary: $131K–192K
- Posted: 2026-10-08
- Skills: GenAI, GLM, LLMs, VLMs
- Apply: https://job-boards.greenhouse.io/doordashusa/jobs/8264542

## Description

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 running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, 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 open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll work across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability. This role is ideal for an engineer who enjoys pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly.
 You’re excited about th

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