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Active4mo ago

Software Engineer, Machine Learning Infrastructure - Generative AI

DoorDash USA·📍 San Francisco, Canada

Employment

FULL TIME

Work mode

On-site

Experience

3+ years

Salary

$137.1K – $201.6K/yr

Role overview

Job 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 our evaluation platform — the unified evals backbone that lets teams measure, trace, and trust the quality of LLM and agent systems across the company, powering trace/score ingestion, LLM-as-judge workflows, agent simulations, and LLM observability for the tens of millions of daily requests flowing through our LLM Gateway. We also own core platform surfaces including the Agent Gateway, open-weights model serving and batch inference, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building

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About this listing

  • Listed from a Greenhouse careers board
  • Posted 17 Jun 2026

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Role market pulse

How Software Engineer demand looks in Canada

78/100 · rising

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291

Posted 30d

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78%

Salary trend 1Y

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What they are looking for

Skills & requirements

Qualification

A central pillar of that work is our evaluation platform — the unified evals backbone that lets teams measure, trace, and trust the quality of LLM and agent systems across the company, powering trace/score ingestion, LLM-as-judge workflows, agent simulations, and LLM observability for the tens of millions of daily requests flowing through our LLM Gateway; 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 evals and LLM observability platform: the systems that let teams evaluate, trace, and continuously improve the quality of LLM and agent products; You’ll work across evaluation frameworks and SDKs, OpenTelemetry-based trace/score ingestion, LLM-as-judge and offline/online eval pipelines, agent simulations, data pipelines, backend services, and observability; Work on our unified evals platform — evaluation SDKs, OpenTelemetry trace/score ingestion, LLM-as-judge, offline and online eval pipelines, and agent simulations — alongside the LLM Gateway, Agent Gateway, open-weights model serving, guardrails, and cost attribution

Department · 313 Infrastructure Engineering

Hiring company

DoorDash USA

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