Member of Technical Staff - Applied AI Research

DoorDash’s mission is to empower local economies. With AI, we believe there’s a huge opportunity to leverage agentic technology to help businesses grow their sales, to create more personalized experiences for our customers, to make our logistics system even more efficient.

We have an applied AI research lab at DoorDash, which is a team that is small, highly motivated, and focused on engineering excellence. This team is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat structure - everyone is expected to be hands-on and contribute directly to the mission. Initiative and consistent delivery are how people grow and lead here.

You'll work directly with our cofounder with direct ownership over the direction of AI research at DoorDash. In this role you will develop realistic agent environments and evaluation methods, design systems and algorithms to improve agent performance, and collect and curate human and synthetic data to improve the capability and behavior of agent systems. This is hands-on work with immediate product impact at real-world scale.

• Work directly with leadership and see your research deployed at real-world scale - small team, massive reach.
• Move fast without bureaucracy - rapid iteration, high autonomy, and no layers of politics.
• Have access to global data scale, robust compute, and a platform primed for AI transformation.
• Shape how AI transforms commerce, building intelligent and adaptive experiences for millions of Consumers, Merchants, and Dashers.

• Experience with the latest AI tools building AI products
• Familiarity with building agent solutions, including context management, defining evals, measuring performance
• Strong knowledge of reinforcement learning techniques
• Experience building infra for large-scale reinforcement learning and multi-agent reinforcement learning 
• Experience at frontier labs (OpenAI, Anthropic, DeepMind) or top AI startups.
• A builder mindset - you're energized by experimentation, move quickly, and stay close to the work
• Strong cross-functional instincts and a natural ability to bring research and product teams together.
• Nice to have: PhD with AI or other scientific domains 

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.