Research Scientist - Reinforcement Learning, Self-driving

Applied Intuition

Sunnyvale, California, United States
Base: $126,000 - $423,000 usd annually; equity: op...
On-site
Strong research record in rl and vla post-training
Msc or phd in machine learning and computer vision
Technical experience in python, pytorch, and distributed ml
Applied Intuition is seeking passionate Research Scientists specializing in reinforcement learning (RL) for their research group focused on autonomous driving and robotics. The role requires a strong research background in RL, machine learning, and computer vision, with the opportunity to work with industry-leading tools and contribute to cutting-edge technology

Job Summary

  • The mission of the group is to create cutting-edge technology enabling next-generation physical AI with emphasis on end-to-end autonomous driving.
  • Researchers can access millions of miles of data from large fleets and deploy methods into various autonomous and robotic systems.
  • Compensation includes base salary ranging from $126,000 to $423,000 USD annually, plus equity and comprehensive benefits.

Matching Summary

Match Score: 85

Applied Intuition is seeking passionate Research Scientists specializing in reinforcement learning (RL) for their research group focused on autonomous driving and robotics. The role requires a strong research background in RL, machine learning, and computer vision, with the opportunity to work with industry-leading tools and contribute to cutting-edge technology.

Salary

Base: $126,000 - $423,000 USD annually; Equity: Options and/or restricted stock units; Benefits: Comprehensive health, dental, vision, life, disability, 401k match, stipends, PTO

Skills & Requirements

Must-have

  • Strong research record in RL and VLA post-training
  • MSc or PhD in machine learning and computer vision
  • Technical experience in Python, Pytorch, and distributed ML

Nice-to-have

  • Hands-on experience with self-play RL and imitation learning
  • Experience with large-scale closed-loop RL in driving simulation
  • Familiarity with Ray for large-scale RL training infrastructure

Key Requirements

  • MSc or PhD in machine learning, computer vision, or related fields
  • Publications in top-tier conferences or journals
  • Passion for scalable autonomy and robotics for real-world systems

Work Rights

Not specified

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