At Tangible, we are building robots that can understand and act in the real world. Our work brings together imitation learning, reinforcement learning, dexterous manipulation, vision-language-action models, and multimodal co-training at scale. We are looking for exceptional people across research and engineering.

For research roles, strong candidates have a proven record of publishing state-of-the-art work in robot learning at conferences such as CoRL, NeurIPS, ICRA, and IROS, along with six months to two years of hands-on development experience.

We are also hiring mechanical design engineers, software engineers, and control engineers who want to work on ambitious systems that operate in real environments.

If you want to work on robots that learn from thousands of interactions across hundreds of environments, reach out. Compensation for top candidates ranges between $1 - 2M.