Intern, AI-enabled Robotic and Dexterous Manipulation Research

Role

As an Intern in AI-enabled Robotic Manipulation Research you will experiment with novel robotics capabilities that have an impact on real-world applications in manufacturing. You will work alongside a team of researchers and engineers developing features and conducting experiments for machine learning approaches to robot manipulation.

You bring in thorough knowledge in robot learning, excitement for getting robot hardware and experiments to run, and solid coding skills.

How your work moves the mission forward

• Contribute to experiments for novel, AI-enabled and sensor-guided manipulation capabilities.
• Evaluate new, prototypical approaches on manipulation scenarios for industrial manufacturing.
• Extend existing manipulation capabilities in our stack and improve features related to learning and robot control.
• Collaborate with researchers and colleagues across three continents to bring solutions to the real world.

Skills you will need to be successful

• PhD student in Computer Science, Robotics or related field, or master's student with robotics lab experience
• Programming experience in Python (ideally Jax or Pytorch skills)
• Knowledge and first experience in machine learning for robotics in one or more areas like reinforcement learning, vision-language-action models, sim-to-real transfer learning, imitation learning and/or foundation models for robotics
• Enthusiasm for experimenting with robot hardware, ideally prior experience
• Basic knowledge of robot motion control, kinematics, dynamics
• Ideally, experience in controlling robot motion and/or applying learned models to motion