Software Engineer, Machine Learning Infrastructure - Generative AI

DoorDash US
San Francisco
Workplace: OnsiteFull timeUSD 137,100 - 201,600 annuallyFunction: Software EngineeringExperience: 4+ yearsEducation: bachelorsSkills: ["Communication","Teamwork","Problem-solving","Collaboration","Analytical thinking"]

Join a small, high-leverage team building production infrastructure for Generative AI. You’ll work across backend services, ML infrastructure, agent/tool orchestration, evaluation systems, model serving, batch inference, and observability to enable GenAI capabilities at scale for DoorDash, Wolt, and Deliveroo.

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FursaFursa
DoorDash US
DoorDash US
2 months ago

Software Engineer, Machine Learning Infrastructure - Generative AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Join a small, high-leverage team building production infrastructure for Generative AI. You’ll work across backend services, ML infrastructure, agent/tool orchestration, evaluation systems, model serving, batch inference, and observability to enable GenAI capabilities at scale for DoorDash, Wolt, and Deliveroo.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Build infrastructure that moves GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company.
  • •Develop production GenAI platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, open-weights model serving, batch inference, fine-tuning, guardrails, and cost attribution.
  • •Design scalable systems for AI agents, MCP/tool orchestration, retrieval, batch inference, model serving, and evaluation workflows that power customer and internal automation use cases.
  • •Help product teams choose the right model and vendor strategy across closed-source and open-weight models, with reliability, fallback, observability, and cost controls built in.
  • •Build platforms that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence.

Pay and Benefits

Salary: USD 137,100 - 201,600 annually
Perks:Health Insurance401kPaid LeaveWellness Stipend

Key Requirements

  • •BS, MS, or PhD in Computer Science or equivalent.
  • •4+ years of industry experience in software engineering.
  • •Strong backend engineering fundamentals, especially in Python and distributed systems.
  • •Experience building production services, APIs, data pipelines, or ML infrastructure at scale.
  • •Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization.
Experience:4+ yearsMachine learningGenAIAI infrastructure
Education:Bachelor's
Skills:CommunicationTeamworkProblem-solvingCollaborationAnalytical thinking
Languages:English
Tech Stack:PythonDistributed systemsKubernetesAWSGCPGPUModel serving

Company Brief

DoorDash US
On-demand logistics platform connecting consumers with local restaurants, grocers, and retailers for food delivery, pickup, and convenience services. Operates a marketplace and last-mile delivery network while offering tools and analytics for merchants and couriers.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn