Member of Technical Staff - Applied AI Research

DoorDash DoorDash · Consumer · San Francisco, CA · 341 Executive Engineering

Applied AI Research role focused on developing agent environments, evaluation methods, and algorithms to improve agent performance using reinforcement learning and human/synthetic data. The role emphasizes hands-on work with immediate product impact at real-world scale, with opportunities for research deployment and shaping AI transformation in commerce.

What you'd actually do

  1. develop realistic agent environments and evaluation methods
  2. design systems and algorithms to improve agent performance
  3. collect and curate human and synthetic data to improve the capability and behavior of agent systems

Skills

Required

  • Experience with the latest AI tools building AI products
  • Familiarity with building agent solutions, including context management, defining evals, measuring performance
  • Strong knowledge of reinforcement learning techniques
  • Experience building infra for large-scale reinforcement learning and multi-agent reinforcement learning

Nice to have

  • PhD with AI or other scientific domains

What the JD emphasized

  • direct ownership over the direction of AI research
  • hands-on work with immediate product impact at real-world scale
  • Experience at frontier labs (OpenAI, Anthropic, DeepMind) or top AI startups
  • builder mindset

Other signals

  • AI research lab
  • agentic technology
  • real-world scale
  • global data scale
  • robust compute