Location
singapore, singapore, Singapore
Posted
July 12, 2026
Job Description
Tyson Jay in Singapore is looking for a candidate to design and train reinforcement learning and imitation learning policies for various movement tasks. The role involves running experiments on physical hardware and building simulation environments to support fast policy iteration.
The ideal candidate has 2 to 3 years of experience in reinforcement learning, is proficient in Python, and can work directly with robots and hardware effectively.
#J-18808-Ljbffr