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Software Engineer, ML Infrastructure (MDX)

DoorDash USA · San Francisco · Office location (mode not stated)

USD 130,600–192,000 / year

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Company
DoorDash USA
Location
San Francisco, CA; Sunnyvale, CA; Seattle, WA
Work mode
Office location (mode not stated)
Open to applicants from
On-site/hybrid: local candidates
Level
Junior
Employment
Not stated
Field
Software Engineering / Software engineer (general)
Stated pay
USD 130,600–192,000 / year
Posted
2026-10-14 (32 days ago)
Visa sponsorship mentioned
Not mentioned
Listing source
Greenhouse

LLMMachine learningKubernetesGCPAWSAirflow

About the role

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,…

Excerpt only. Read the full description and apply at the original posting on Greenhouse. We list jobs from public job-board feeds and do not alter employer content beyond this excerpt.

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