# Software Engineer, ML Infrastructure (MDX) 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: 2026-10-15
- Apply: https://job-boards.greenhouse.io/doordashusa/jobs/8283735

## Description

About the Team 
 DoorDash's MDX team sits within Machine Learning Platform and builds the shared foundation that ML engineers across DoorDash, Wolt, and Deliveroo rely on to build and run ML-powered products. We work across the full ML lifecycle: feature engineering, training, evaluation, deployment, serving, and monitoring. Our mission is to increase the velocity and reliability of ML-driven business impact across the company. A central pillar of that work is agentic infrastructure. We are building systems that let agents accelerate and operate the ML workflow itself, including auto research, where agents explore and iterate on modeling ideas, and self-healing systems that detect, diagnose, and remediate failures in ML pipelines and production models with minimal human intervention.
 About the Role 
 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. That includes auto research systems that explore and iterate on modeling ideas, and agentic developer support that helps ML engineers move through training, evaluation, deployment, and debugging faster. You'll own well-scoped components end to end, from design through production, working across agent orchestration, tooling and integrations with our ML platform, evaluation of agent behavior, and observability. This role is ideal for an engineer with a strong backend foundation who is excited to apply AI agents to real engineerin

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