What are the responsibilities and job description for the Research Engineer/Scientist, Reinforcement Learning position at Tau Robotics?
We are training a general AI for robots on data from a massive fleet of low-cost robots. We are an early stage startup based in Palo Alto close to Stanford Campus. We are looking for a founding research engineer/scientist to work on large scale reinforcement learning for robots.
You might thrive in this role if you love being on the cutting edge of robot learning research and can iterate fast on new algorithm designs.
Responsibilities
- Develop and implement novel offline reinforcement learning algorithms
- Perform training of deep neural networks on large GPU clusters
- Collaborate with researchers in behavioral cloning and world models
Preferred Qualifications
- Deep technical knowledge and research experience in deep learning, reinforcement and/or imitation learning
- Experience implementing and debugging reinforcement learning algorithms
- Extensive experience in Python and at least one deep learning library such as JAX or PyTorch
- Publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA)