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Research Engineer - Robot Learning

Build robot-learning systems for Applied Intuition's physical AI research group.

What the role actually is

Applied Intuition is hiring a research engineer for robot learning in its AI research group. The role is about building and testing learning systems for embodied machines, not just writing offline model code.

The posting connects the work to next-generation physical AI and robotic generalist systems, which puts it close to the research frontier for useful robot behavior.

What you would work on

  • Build robot-learning pipelines, models, and experiments for physical AI systems
  • Work with research scientists and engineers on embodied autonomy problems
  • Use simulation, data, and evaluation loops to improve robot behavior
  • Translate research prototypes into systems that can inform product direction

What they are asking for

  • Strong research engineering background in robotics, machine learning, or autonomy
  • Experience implementing and evaluating learning-based robotic systems
  • Ability to move between model work, simulation, and practical system constraints
  • Comfort collaborating with a high-caliber applied research team

Why this one is worth a look

Applied Intuition has been moving deeper into physical AI infrastructure. A robot-learning research role there is worth watching because the company is positioned between tools, simulation, operating systems, and deployed autonomy.

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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