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Research Intern - Reinforcement Learning, Robotics

Work with Applied Intuition's research group on reinforcement learning for robotic generalist systems.

What the role actually is

Applied Intuition is looking for research interns focused on reinforcement learning for robotics. The posting places the work in a research group building technology for physical AI, including robotic generalists, humanoids, and dexterous hands.

The role is best suited to someone who wants an internship close to model research, simulation, and embodied autonomy rather than a conventional software internship.

What you would work on

  • Run reinforcement learning experiments for robotic and embodied AI systems
  • Use simulation and fleet-scale infrastructure to evaluate learned behavior
  • Collaborate with researchers working across autonomy and robotics
  • Contribute research code that can inform practical physical AI systems

What they are asking for

  • Active research interest in reinforcement learning, robotics, or embodied AI
  • Ability to implement and evaluate learning-based methods
  • Comfort moving between papers, experiments, and working systems
  • Interest in physical robot behavior, not just abstract model training

Why this one is worth a look

Internships in robot learning are often either academic lab roles or narrow platform internships. This one is notable because Applied is building infrastructure that can touch self-driving, humanoids, dexterous manipulation, and industrial autonomy under one research umbrella.

About Applied Intuition

Silicon Valley physical AI company building autonomy, simulation, and operating-system software for vehicles, drones, defense systems, and industrial machines.

Visit Applied Intuition

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