Member of Technical Staff Applied AI

DoorDash, Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Francisco, CASunnyvale, CA
Salary
$203,500–$299,300 / yr
Posted
38 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k
This role $251k
$150k most similar roles pay here $315k

This role pays more than 73% of similar roles. Most pay $177,250–$254,750 — the shaded band above. At the midpoint, this role pays about $251k versus about $216k 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 · Member of Technical Staff Applied AI

Member of Technical Staff - Applied AI joins a small, highly motivated team within the applied AI lab to build sophisticated agentic technology. Working directly with leadership, you will have ownership over the direction of AI research while building end-to-end agent systems and developing robust evaluation methods to measure performance. Your daily responsibilities include designing algorithms to enhance capabilities and collecting or curating human and synthetic data to optimize behavior. The role requires experience with modern AI tools, a history of shipping production AI agents, and familiarity with context management and defining evals. You will solve complex problems in the commerce space by building intelligent, adaptive experiences for consumers, merchants, and dashers. This position demands a builder mindset to navigate the technical challenges of scaling agentic systems within a global logistics and delivery infrastructure.

What you'll do

  • Build sophisticated AI agents end-to-end to improve business growth and customer experiences.
  • Develop robust evaluation methods to measure and improve agent performance.
  • Design systems and algorithms to enhance the capabilities of agentic technologies.
  • Collect and curate human and synthetic data to optimize agent behavior.
  • Lead the direction of AI research in collaboration with company leadership.
  • Implement AI solutions at a global scale to optimize logistics and commerce.

What we're looking for

  • Experience with the latest AI tools to build AI products.
  • Familiarity with building agent solutions, including context management and defining evals.
  • Experience measuring performance for agent systems.
  • Proven track record of shipping a production AI agent or similar system.
  • Experience at frontier labs such as OpenAI, Anthropic, or DeepMind.
  • Experience working at top AI startups.
  • Ability to bridge the gap between research and product teams through cross-functional collaboration.
  • A builder mindset characterized by rapid experimentation and high autonomy.

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