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Software Engineer, Machine Learning Infrastructure - Gen AI
Summary by AIEngineer.careers
Software Engineer, Machine Learning Infrastructure - Gen AI is a AI Infrastructure Engineer role (full-time). with DoorDash. in SAN FRANCISCO, US. Compensation shown: $137K–$202K. Imported listing (source: tryjeremy.com). Apply on the employer's site (tryjeremy.com).
Imported listing (source: tryjeremy.com) · Apply on tryjeremy.com
SAN FRANCISCO · US
$137K–$202K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from tryjeremy.com
DoorDash's GenAI Platform team builds shared infrastructure for Generative AI products. This role involves designing and operating systems for LLM gateways, agent orchestration, model serving, and evaluation. You'll work across backend services and ML infrastructure to accelerate GenAI adoption.
Responsibilities
- Build infrastructure to move GenAI ideas from prototype to production.
- Work on production GenAI platform surfaces including LLM Gateway, Agent Gateway, evals infrastructure, open-weights model serving, batch inference, guardrails, and cost attribution.
- Design scalable systems for AI agents, MCP/tool orchestration, retrieval, batch inference, model serving, and evaluation workflows.
- Help product teams choose model and vendor strategy.
- Build platforms for rapid experimentation while meeting production standards.
Requirements
- B.S., M.S., or PhD. in Computer Science or equivalent.
- 4+ years of industry experience in software engineering.
- Strong backend engineering fundamentals in Python and distributed systems.
- Experience building production services, APIs, data pipelines, or ML infrastructure at scale.
DoorDash
San Francisco · US · 23700+ employees
DoorDash is a local commerce platform that connects consumers with restaurants, grocery stores, and retailers for on-demand delivery. It provides logistics services for both consumers and merchants.
