Member of Technical Staff, Applied AI Research
About The Position
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. About the Role 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.
Requirements
- 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 Haves
- PhD with AI or other scientific domains
Responsibilities
- Develop realistic agent environments and evaluation methods.
- Design systems and algorithms to improve agent performance.
- Collect and curate human and synthetic data to improve the capability and behavior of agent systems.
Benefits
- 401(k) plan with employer matching
- 16 weeks of paid parental leave
- wellness benefits
- commuter benefits match
- paid time off
- paid sick leave
- medical
- dental
- vision benefits
- 11 paid holidays
- disability and basic life insurance
- family-forming assistance
- mental health program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
