Software Engineer, ML Infrastructure, MDX (San Francisco)

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 the agentic layer of DoorDash's ML infrastructure. You'll design and build the systems that let agents accelerate how ML engineers across DoorDash, Wolt, and Deliveroo develop, ship, and operate models.

Key responsibilities

• Build agentic systems that increase the velocity of ML development across DoorDash, Wolt, and Deliveroo
• Design and implement infrastructure that lets agents propose, run, and evaluate modeling experiments
• Build agentic developer support for the ML lifecycle, such as agents that help engineers set up training jobs, debug failing pipelines
• Develop evaluation and observability for agent behavior, so we can measure whether agents are actually helping, catch regressions early
• Work with production standards in mind, including reliability, safety guardrails, cost controls, monitoring, and clear playbooks
• Partner closely with ML engineers, data scientists, and platform teams to understand where their time goes and turn those workflows into durable

Requirements

• B.S., M.S., or PhD in Computer Science or equivalent
• 2+ years of industry experience in software engineering
• Hands-on experience building ML infrastructure in production including feature engineering and feature stores, data pipelines for ML, training
• Strong backend engineering fundamentals, especially in Python and distributed systems
• Experience operating systems in production, including testing, observability, debugging, and reliability
• A good understanding of how ML engineers and data scientists work, and a track record of building platforms, tools

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.