Member of Technical Staff - Applied AI Research
Core
Develop realistic agent environments, design systems/algorithms to improve agent performance, and curate data to enhance agent capabilities for DoorDash's logistics and commerce platforms.
Role type
Applied AI Research Scientist (Agentic Systems)
Builds
Intelligent agent systems for logistics efficiency and personalized customer/merchant experiences
Domain
Logistics, E-commerce, Reinforcement Learning
Deliverable
production ML models
Required skills
Reinforcement learning, Multi-agent reinforcement learning, Agent solution design, Context management, Evaluation framework design, Large-scale RL infrastructure, AI product building
Preferred skills
PhD in AI or scientific domains, Experience at frontier labs (OpenAI, Anthropic, DeepMind) or top AI startups
Technologies
Reinforcement learning frameworks, Large-scale compute platforms
Responsibilities
Develop realistic agent environments and evaluation methods, Design systems and algorithms to improve agent performance, Collect and curate human and synthetic data, Work directly with cofounder on AI research direction
Seniority
Senior, hands-on IC
