AI Intern

Agility Robotics Agility Robotics · Robotics · Fremont +2 · Software Engineering

AI Intern role focused on robot learning for humanoid robots, involving research projects in reinforcement learning, loco-manipulation, and improving data collection, training, and evaluation frameworks. The intern will work with robot hardware and analyze experimental data.

What you'd actually do

  1. Lead a research project in robot learning, such as reinforcement learning for whole-body control or learning loco-manipulation skills from demonstration.
  2. Design and run experiments to evaluate learning-based robot behaviors in simulation and on hardware.
  3. Improve data collection, model training, and evaluation frameworks.
  4. Dive into robot logs and experimental data to diagnose failures and push the boundaries of what Digit can do.
  5. Present your findings to a world-class team of engineers and researchers.

Skills

Required

  • Python
  • modern ML frameworks (PyTorch, JAX, etc.)
  • robot learning
  • reinforcement learning
  • loco-manipulation
  • simulation and hardware experiments
  • data collection, model training, and evaluation

Nice to have

  • Experience training machine learning models on real or simulated datasets
  • Experience working with robot hardware
  • Experience analyzing experimental data and communicating results

What the JD emphasized

  • PhD in Computer Science, Machine Learning, Robotics, or a related field
  • Python and modern ML frameworks
  • integrate, run, and evaluate your learned policies on the robot
  • robot hardware
  • analyzing experimental data and communicating results

Other signals

  • robot learning
  • reinforcement learning
  • loco-manipulation
  • simulation and hardware experiments
  • data collection, model training, and evaluation