Member of Technical Staff, Applied AI

DoorDash, Inc

Confirmed live today High trust

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $222k
This role $251k
$159k $314k
below market most similar roles pay here above market

This role pays more than 67% of similar roles. Most pay $186,550–$258,250 — the blue band above. At the midpoint, this role pays about $251k versus about $222k 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 97 open roles on FindRole.

Listed pay typically runs $163,800–$240,900 across 96 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 the Applied AI lab to build sophisticated AI agents end-to-end. Working directly with the cofounder, you will have ownership over the direction of AI research, designing systems and algorithms to enhance capabilities while developing robust evaluation methods to measure performance. Your daily work involves collecting and curating human and synthetic data to optimize agent behavior for real-world scale. The role requires experience with the latest AI tools, building agent solutions including context management, and shipping production AI agents. You should possess a builder mindset and familiarity with frontier labs or top AI startups. This position solves technical problems in commerce by creating intelligent, adaptive experiences for consumers, merchants, and dashers within a global logistics system.

What you'll do

  • Build sophisticated AI agents end-to-end to help businesses grow and optimize logistics.
  • Develop robust evaluation methods to measure and improve agent performance.
  • Design systems and algorithms to enhance the capabilities of agentic technology.
  • Collect and curate human and synthetic data to optimize agent behavior.
  • Own the direction of AI research and its deployment at real-world scale.
  • Create deeply personalized customer experiences for consumers, merchants, and dashers.

What we're looking for

  • Experience with the latest AI tools for building AI products.
  • Familiarity with building agent solutions, including context management, defining evals, and measuring performance.
  • Experience shipping a production AI agent or something similar.
  • Experience at frontier labs (OpenAI, Anthropic, DeepMind) or top AI startups (preferred).
  • A builder mindset energized by experimentation and moving quickly.
  • Strong cross-functional instincts and the ability to bring research and product teams together.

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