AI Research Fellowship

DoorDash, Inc

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Salary
$107,400–$158,000 / yr
Posted
135 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $228k
This role $133k
$86k most similar roles pay here $309k

This role pays less than 89% of similar roles. Most pay $191,587–$264,375 — the shaded band above. At the midpoint, this role pays about $133k versus about $228k for comparable roles.

Based on 240 similar postings.

Employer

About DoorDash, Inc

DoorDash, Inc. is an American company operating online food ordering and food delivery. It trades under the symbol DASH. With a 56% market share, DoorDash is the largest food delivery platform in the United States.

DoorDash, Inc currently has 187 open roles on FindRole.

Listed pay typically runs $144,800–$212,950 across 166 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · AI Research Fellowship

AI Research Fellowship, (Summer and Fall 2026) is a research-focused program where fellows operate as independent researchers to tackle complex applied machine learning and artificial intelligence problems in local commerce. Participants will own their research direction, utilizing dedicated GPU clusters, internal reinforcement learning stacks, and training pipelines to build high-fidelity simulators, agentic systems for logistics, foundation models for marketplace dynamics, and multimodal understanding tools. The role involves working with real-world operational data regarding merchant operations and consumer behavior to solve challenges in forecasting, pricing, and matching. Candidates must possess strong research instincts or engineering expertise in ML and systems. Key technical areas include reinforcement learning environments, agentic systems, and evaluation methods for models deployed in messy, real-world settings. The fellowship supports publication at top venues like NeurIPS and ICML while addressing core problems in local commerce logistics.

What you'll do

  • Define and own a research direction within priority areas like reinforcement learning, agentic systems, or foundation models.
  • Conduct independent research using DoorDash's internal infrastructure, GPU clusters, and real-world operational data.
  • Develop high-fidelity simulators, evaluation methodologies, or multimodal understanding tools for local commerce.
  • Produce and publish research findings at top-tier machine learning conferences such as NeurIPS, ICML, or ICLR.
  • Present research findings to mixed audiences of researchers and engineers.
  • Execute the full research lifecycle from initial scoping and experimentation to final productionization or publication.

What we're looking for

  • Candidates must be PhD students (rising 4th year or beyond), recent PhDs, or independent researchers with published work at top ML venues.
  • Engineers must possess deep research instincts and a track record of shipping ambitious ML or systems work.
  • Candidates must be able to operate independently by setting, scoping, and executing a research agenda without heavy supervision.
  • Candidates must have strong written and verbal communication skills for presenting to mixed research and engineering audiences.

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