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Research Intern - Reinforcement Learning, Self-Driving

Applied Intuition· AI Research
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SunnyvaleInternPosted 3mo ago

About the role

Internship role in Applied Intuition's AI Research group focusing on reinforcement learning topics related to autonomous driving and robotics, with opportunities to publish and contribute to cutting-edge physical AI research.

Responsibilities

  • 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
  • Diving into fundamental topics on RL with broader applications and potential imitative behavior learning incorporation, and relevant topics such as reward learning
  • Work closely with the Research Scientists and Engineers on high quality research publications for submission to top-tier conferences

Qualifications

  • Current PhD (or MSc) studies in machine learning, computer vision and graphics, robotics
  • Strong research background and skills on relevant topics, and the ability to work both independently and collaboratively on projects
  • 1+ year of research experience in autonomy, self-driving, or related field
  • Passion for next-generation, scalable autonomy and robotics

Skills

Required:Reinforcement Learning
Last updated Sep 27, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
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