DoorDash is actively hiring for 28 AI-related roles. The majority of these positions, 61%, are focused on agents, with application roles making up another significant portion at 29%. Engineering is the primary function for these hires. Frequent tech tags include model serving, agent orchestration, and recommender systems, suggesting a focus on deploying and managing AI models for user-facing applications.
Consumer · Delivery
Currently tracking 12 active AI roles, down 23% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $102k–$395k (avg $228k).
DoorDash currently has 29 active AI-related roles in our index. The most common open titles are: Software Engineer, Infrastructure - Autonomy & Robotics (2), AI Research Fellowship, (Summer and Fall 2026), Associate, Fraud Insights Operations, Director of Engineering, Logistics, Director, Ads Platform Strategy & Operations, Ads & Promotions. Most positions are in Engineering and Product.
DoorDash's active AI hiring is concentrated in: agents (66%), application (24%), serving infrastructure (7%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
DoorDash is hiring AI talent in: United States (29 roles).
Job postings at DoorDash most frequently reference: agent orchestration, model serving, recommender systems, rag, search ranking.
In the past 30 days, DoorDash has posted 9 new AI-related roles. That is a +29% change versus the prior 30 days (7 → 9).
| Title | Stage | AI score |
|---|---|---|
| AI Research Fellowship, (Summer and Fall 2026) DoorDash is seeking researchers and engineers for a 3-month AI Research Fellowship (extendable to 6 months) to work on applied ML and AI problems in local commerce. Fellows will have access to resources, autonomy, real-world data, and mentorship to pursue ambitious research directions, with the goal of influencing both the field and DoorDash's operations. The program includes dedicated compute, research infrastructure, operational data, mentorship, speaker series, a cohort of peers, publication support, and competitive pay with stipends. Priority research areas include reinforcement learning environments, agentic systems, foundation models for marketplaces, evaluation methods, and multimodal understanding. Candidates should have a strong research track record (PhD candidates/PhDs or equivalent experience) or deep research instincts as an engineer, with the ability to operate independently and communicate effectively. | PretrainAgent |
| 9 |
| Global Head of Policy Research, Head Economist Lead the Global Policy Research function as the Head Economist, analyzing DoorDash's economic impact on local economies, shaping policy strategy, and communicating insights externally. This role involves managing a team, producing public-facing analyses, and engaging with external thought leaders. | — | 5 |