
Building dexterous robots that learn from human biomechanics
About the role
You will own a scoped technical project that contributes directly to our research loop. Depending on your strengths and the team’s current bottlenecks, the work may involve training infrastructure, simulation and evaluation, multimodal data processing, robot software, visualization, or calibration tooling. This is a building role rather than a shadowing program.
What you’ll do
What we’re looking for
Working at Relari
Relari is a small research and engineering startup developing new ways for robots to learn dexterous skills from human biomechanics. Our founders have AI research roots at MIT and NVIDIA, along with autonomous-vehicle and robotics deployment experience at Pony AI and Dexterity. We are backed by top investors including Y Combinator, General Catalyst, and Soma Capital. You will work directly with the founders, own problems end to end, and test your ideas on real robotic systems. This is an on-site internship in San Francisco.
Relari is a robotics research company developing new ways for robots to learn dexterous manipulation from humans. We combine video with rich, scalable biomechanical data—including electromyography (EMG), motion, force, and touch—to train robotics foundation models for more capable, human-like manipulation.