DoorDash
AI

Software Engineer, Machine Learning Infrastructure - Gen AI

DoorDash · San Francisco, CA, US · $137k - $201k

Actively hiring Posted 3 days ago

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. We own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, open-weights model serving and batch inference, guardrails, and cost attribution.

About the Role

You will join a small, high-leverage team building production infrastructure for Generative AI at DoorDash. You'll work across backend services, ML infrastructure, agent/tool orchestration, evaluation systems, model serving, batch inference, and observability. This role is ideal for an engineer who enjoys building reliable platform primitives in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly.

You're excited about this opportunity because you will…

  • Build the infrastructure that helps DoorDash teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company.
  • Work on 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 real 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.
  • Partner closely with ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives.
  • Shape the future of DoorDash's centralized GenAI platform, enabling the next generation of AI-powered products, agents, automation, and personalization.

We're excited about you because…

  • B.S., M.S., 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.
  • Familiarity with machine learning workflows such as inference, evaluation, feature/data pipelines, model serving, or experimentation.
  • Ability to work across ambiguous, fast-moving technical areas and turn customer use cases into reusable platform capabilities

Nice To Haves

  • Experience fine-tuning and serving open-weights LLMs in production
  • Experience building and deploying AI agents in production
  • Experience building and deploying MCP servers in production
  • Experience with LLM gateways, model routing, vendor abstraction, or cost attribution
  • Experience with eval systems, LLM observability, tracing, or LLM-as-judge workflows
  • Experience with RAG, search, vector databases, or retrieval pipelines
  • Experience with Kubernetes, cloud infrastructure (AWS/GCP), GPUs, or high-throughput batch systems
  • Experience building developer platforms, internal platforms, or self-serve infrastructure

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here:**https://getcovey.com/nyc-local-law-144.

Tags & focus areas

Used for matching and alerts on DevFound
Remote Ai Machine Learning Generative Ai

Next step

Ready to Join the Team?

Apply once with DevFound. We'll route your profile to DoorDash and keep you informed when matching AI roles go live.

  • Single profile, multiple curated AI opportunities
  • No spam roles — only vetted AI positions
  • You choose which roles to apply to
Sign up to apply

No CV uploads. We never share your profile without your consent.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.