AI Research Fellowship, (Summer and Fall 2026)
Core
Independent research fellowship for applied ML and AI problems in local commerce, focusing on reinforcement learning, agentic systems, foundation models, and evaluation.
Role type
AI Research Fellow (Summer/Fall 2026)
Builds
Research outputs (publications or productionized systems) for DoorDash's local commerce platform
Domain
Local commerce, logistics, marketplace dynamics
Deliverable
research
Required skills
independent research execution, published work at top ML venues or equivalent output, deep research instincts, ability to scope and execute research agendas
Preferred skills
experience with reinforcement learning, agentic systems, foundation models, multimodal understanding
Technologies
GPU clusters, internal RL stack, training and evaluation pipelines, RL environments
Responsibilities
propose and execute independent research directions, build high-fidelity simulators and training environments, develop long-horizon planning and tool use for agents, create benchmarks for ML systems in operational settings
Seniority
PhD candidates (rising 4th year or beyond), recent PhDs, or independent researchers
