AI Research Fellowship, (Summer and Fall 2026)

DoorDash USA•San Francisco, CA

21h•Hybrid

About The Position

The DoorDash Research Fellowship is a 3-month program (extendable to 6 months) looking for Summer and Fall 2026 cohorts, for researchers and engineers who want to work on the hardest applied ML and AI problems in local commerce. Fellows are given the resources, autonomy, and access to real-world operational data needed to pursue ambitious research directions — with the goal of producing work that influences both the field and how DoorDash operates at scale. This program is modeled on the best external research fellowships: fellows are treated as independent researchers, not as junior employees on a product team. You pick the problem (within a set of priority areas), you own the direction, and you publish or ship the outcome.

Requirements

Researcher with a strong track record — PhD candidates (rising 4th year or beyond), recent PhDs, or independent researchers with published work at top ML venues or equivalent demonstrated output.
Engineer with deep research instincts who have shipped ambitious ML or systems work and want dedicated time to pursue a research direction.
Ability to operate independently — set a research agenda, scope it, and execute without heavy supervision.
Strong written and verbal communication; comfort presenting work to mixed research and engineering audiences.
Exceptional candidates from non-traditional backgrounds are strongly encouraged to apply.

Nice To Haves

Propose your own research direction.
Work on reinforcement learning environments for real-world operations.
Develop agentic systems for logistics and local commerce.
Research foundation models for marketplace dynamics.
Develop new benchmarks and evaluation methods for ML systems deployed in real-world operational settings.
Apply multimodal understanding (vision, speech, and language) to merchant catalogs, operations, and consumer interfaces.

Responsibilities

Work on the hardest applied ML and AI problems in local commerce.
Pursue ambitious research directions with the goal of producing work that influences both the field and how DoorDash operates at scale.
Pick the problem (within a set of priority areas), own the direction, and publish or ship the outcome.
Conduct focused research work with regular check-ins, internal talks, and working sessions during the core research period.
Complete a final write-up, internal presentation, and publication or productionization path during the closeout phase.

Benefits

Dedicated compute allocation sized to the research agenda — GPU clusters for training and inference budgets for experimentation.
Full access to DoorDash's research infrastructure — internal RL stack, training and evaluation pipelines, RL environments built on real operational systems, agent evaluation harnesses, and the tooling our own research teams use day-to-day.
Access to DoorDash operational data — real-world datasets spanning logistics, merchant operations, consumer behavior, and marketplace dynamics, under appropriate data governance.
Research mentorship from senior researchers and engineering leaders at DoorDash, plus a named research sponsor for each fellow who meets with you weekly and is accountable for unblocking your work.
Speaker series featuring leading researchers and practitioners from academia and industry — faculty from top ML programs, research leads from frontier AI labs, and senior operators from across tech. Fellows get dedicated 1:1 time with speakers when possible.
A cohort of fellows working alongside you — a small, tight-knit group of researchers tackling different problems but sharing ideas, drafts, and reading groups. The community extends to DoorDash research alumni and the broader fellowship network.
Publication support — fellows are encouraged to publish at top venues (NeurIPS, ICML, ICLR, KDD, etc.) and DoorDash will support the legal and review process.
Relocation support, housing stipend, and competitive pay.
Wellness reimbursement benefit.
Access to an employee assistance program.
In-office lunch credits.
Premium healthcare.
Paid parental leave.