Research engineer at a pre-seed robotics startup in Sydney teaching robots behaviors from human demonstrations using imitation and reinforcement learning. Day to day: training and adapting learning algorithms (ACT, Diffusion Policy, VLA), building simulation frameworks, and robot integration software. Remote possible for theory/simulation; Sydney preferred for hardware work.
Part-time internship (6+ months, min 2 days/week) training and adapting imitation and reinforcement learning models that teach robots behaviors from human demonstrations. Work spans ML algorithm development, robot simulation frameworks (ROS), robot-integration and demonstration-data-collection software. Remote/hybrid within Australia; Sydney preferred for hardware work.
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