Senior/Staff Deep Reinforcement Learning Engineer

DoorDash USA
San Francisco, CA
Category Engineering
Job Description
The role of Senior/Staff Deep RL Engineer involves designing, training, and deploying deep reinforcement learning policies for autonomous vehicles, with responsibilities including problem formulation, reward design, and distributed training infrastructure building. The ideal candidate will have a strong foundation in reinforcement learning and deep learning, with hands-on experience in training RL agents at scale and proficiency in JAX or a similar functional ML framework.

Requirements

  • BS/MS/PhD in CS, EE, Robotics, or a related field
  • Strong foundation in reinforcement learning and deep learning
  • Hands-on experience training RL agents at scale
  • Proficiency in JAX or a similar functional ML framework
  • Deep grasp of core RL concepts: policy gradients, value functions, exploration-exploitation, model-based RL, reward shaping, and sim-to-real transfer
  • Data-driven mindset: comfortable building experiment pipelines, analyzing training runs, and letting metrics guide architectural decisions

Benefits

  • 401(k) plan with employer matching
  • 16 weeks of paid parental leave
  • Wellness benefits
  • Commuter benefits match
  • Paid time off
  • Paid sick leave
  • Medical, dental, and vision benefits
  • 11 paid holidays
  • Disability and basic life insurance
  • Family-forming assistance
  • Mental health program
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