TYSON JAY MANAGEMENT PTE. LTD. in Singapore is looking for a candidate to develop locomotion controllers and motion policies for legged robots. The role entails training and evaluating policies in simulations, designing reward functions, and systematically transferring simulations to real-world scenarios.

Ideal candidates will have strong skills in reinforcement learning and Python, hands-on robot training experience, and capability in closing the sim-to-real gap. This is a unique opportunity to contribute to pioneering robotics projects.