Senior/staff Deep Reinforcement Learning Engineer

DoorDash

San Francisco, CA, United States
Base: $168,000 - $247,000 usd; bonus/equity: oppor...
On-site
Deep reinforcement learning
Jax framework
Distributed training infrastructure
Our DD Labs team builds real-time autonomous delivery systems, investing heavily in deep reinforcement learning to move beyond classical planning

Job Summary

  • Our DD Labs team builds real-time autonomous delivery systems, investing heavily in deep reinforcement learning to move beyond classical planning.
  • As a Senior/Staff Deep RL Engineer, you will design, train, and deploy deep reinforcement learning policies that make real-time driving decisions for our autonomous vehicles.
  • DoorDash offers a comprehensive benefits package including a 401(k) plan with employer matching, 16 weeks of paid parental leave, and wellness benefits.

Matching Summary

Our DD Labs team builds real-time autonomous delivery systems, investing heavily in deep reinforcement learning to move beyond classical planning.

Salary

Base: $168,000 - $247,000 USD; Bonus/Equity: opportunities for equity grants; Benefits: comprehensive benefits package

Skills & Requirements

Must-have

  • Deep Reinforcement Learning
  • JAX framework
  • Distributed training infrastructure
  • Real-time driving decisions
  • Model-based deep RL agents

Nice-to-have

  • Publications at top venues
  • GPU-accelerated simulators
  • Shipping learned components in production

Key Requirements

  • BS/MS/PhD in CS, EE, Robotics, or related field
  • Hands-on experience training RL agents at scale
  • Proficiency in JAX or similar functional ML framework
  • Deep grasp of core RL concepts
  • Data-driven mindset

Work Rights

Not specified

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