Applied AI Engineer: End-to-End Agent Development

DoorDash

California (MO)

On-site

USD 204,000 - 299,000

Full time

14 days+

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Benefits offered by this job

401(k) plan with employer matching
16 weeks of paid parental leave
wellness benefits
commuter benefits match
paid time off and paid sick leave
medical, dental, and vision benefits
11 paid holidays
disability and basic life insurance
family‑forming assistance
mental health program

Job summary

DoorDash is seeking an Applied AI researcher to own the direction of AI research, collaborating directly with the cofounder. You will architect end-to-end AI agents, design evaluation methods, and curate data to optimize agent behavior at scale.

This hands-on role offers immediate product impact, working in a small, highly motivated lab focused on engineering excellence and global logistics optimization for millions of consumers, merchants, and dashers.

Qualifications

  • Experience building AI products using the latest tools.
  • Experience with agent solutions, context management, evals, and performance metrics.
  • Shipped a production AI agent or similar work.
  • Experience at frontier labs (OpenAI, Anthropic, DeepMind) or top AI startups.
  • Builder mindset; you're energized by experimentation, move quickly, and stay close to the work.
  • Strong cross-functional instincts and ability to bridge research and product teams.

Responsibilities

  • Develop end-to-end AI agents and evaluation methods.
  • Collaborate with leadership to shape the direction of AI research at DoorDash.
  • Design systems and algorithms to enhance agent capabilities and collect data to optimize behavior.
  • Build robust, scalable AI solutions with real-world product impact.

Skills

AI products
Agent solutions
Production AI agent
Frontier labs
Builder mindset
Cross-functional teamwork

Job description

DoorDash is seeking an Applied AI researcher to own the direction of AI research, collaborating directly with the cofounder. You will architect end-to-end AI agents, design evaluation methods, and curate data to optimize agent behavior at scale.

This hands-on role offers immediate product impact, working in a small, highly motivated lab focused on engineering excellence and global logistics optimization for millions of consumers, merchants, and dashers.

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