Jobs

Apptronik is seeking a Reinforcement Learning Engineer to be a core contributor to the intelligence and physical capabilities of their humanoid robot, Apollo. This role involves architecting neural network topologies and implementing state-of-the-art RL algorithms for whole-body locomanipulation. The ideal candidate will have 3+ years of experience with RL frameworks and simulators, mastery of Python and C++, and a strong theoretical understanding of modern reinforcement learning. You will drive the development cycle from simulation to fine-tuning on physical hardware, collaborating with multidisciplinary teams to achieve world-class performance.