Senior/staff Deep Reinforcement Learning Engineer

Doordashusa

San Francisco, CA, United States
Base: $168,000 - $247,000 usd; equity: opportuniti...
On-site
Deep reinforcement learning
Jax framework
Large-scale distributed training
Our models jointly handle prediction and planning in a single unified architecture

Job Summary

  • Our models jointly handle prediction and planning in a single unified architecture.
  • 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 models jointly handle prediction and planning in a single unified architecture.

Salary

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

Skills & Requirements

Must-have

  • Deep Reinforcement Learning
  • JAX framework
  • Large-scale distributed training
  • Real-time driving decisions
  • Autonomous vehicle stack

Nice-to-have

  • Publications at top AI venues
  • GPU-accelerated simulators
  • Production robotics shipping

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

Work Rights

Not specified

Tailored Resume

Cover Letter