Research Scientist - Reinforcement Learning, Self-driving

Applied Intuition

Sunnyvale, United States
Base: $126,000 - $423,000 usd annually; equity: op...
On-site (5 days a week with some flexibility)
Reinforcement learning research
Autonomous driving applications
Python, pytorch
Applied Intuition is seeking multiple Research Scientists specializing in reinforcement learning to join their team focused on creating innovative solutions for autonomous driving and robotics. The role requires strong research credentials in machine learning and computer vision, with an emphasis on collaboration and real-world application

Job Summary

  • Conduct research on reinforcement learning (RL) related topics including large-scale self-play RL, VLA post-training, large-scale closed-loop RL based on neural simulation with applications to autonomous driving.
  • Work closely with other Research Scientists and interns on research publications for submission to top-tier conferences.
  • Collaborate with Research Engineers and engineering teams to test and deploy algorithms to our autonomy and robotics products.

Matching Summary

Match Score: 85

Applied Intuition is seeking multiple Research Scientists specializing in reinforcement learning to join their team focused on creating innovative solutions for autonomous driving and robotics. The role requires strong research credentials in machine learning and computer vision, with an emphasis on collaboration and real-world application.

Salary

Base: $126,000 - $423,000 USD annually; Equity: options and/or restricted stock units; Benefits: comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off

Skills & Requirements

Must-have

  • Reinforcement learning research
  • Autonomous driving applications
  • Python, Pytorch
  • Computer vision, robotics systems
  • Distributed machine learning training

Nice-to-have

  • Self-play RL and imitation learning
  • VLA post-training for autonomy
  • Large-scale closed-loop RL
  • Large-scale RL training infrastructure

Key Requirements

  • MSc or PhD in machine learning and computer vision
  • Strong research record in RL and VLA post-training
  • Publications in top-tier conferences or journals
  • Passion for scalable autonomy and robotics

Work Rights

Not specified

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