Software Engineer, Machine Learning Platform, Gen AI

DoorDash connects customers with local businesses for delivery, from restaurants to grocery, retail and its own DashMart stores. 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 autos

Key responsibilities

• Build the infrastructure that helps DoorDash teams move GenAI ideas from prototype to production
• Real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway
• Design scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that power real customer
• Push the cost and latency frontier of GPU inference — turning batch jobs that took days into hours
• Build platforms that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks
• Partner closely with ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt

Requirements

• In Computer Science or equivalent
• 3+ years of industry experience in software engineering
• Strong backend engineering fundamentals, especially in Python and distributed systems
• Experience building production services, APIs, data pipelines, or ML infrastructure at scale
• Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization
• Hands-on experience with LLM inference and/or fine-tuning of open-weight models in production — serving (latency, throughput, batching, autoscaling

Location and schedule

• Onsite in San Francisco, California

Salary and benefits

US base salary $130,600 to $192,000 a year. DoorDash also offers benefits; the full list is on the posting.

How to apply

Apply on the company's own site.