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Shifters is looking for a Reinforcement Learning Algorithms Engineer to develop and deploy advanced whole-body control policies for our autonomous quadruped robots. You will train robust behaviors for dynamic locomotion, balance, recovery, manipulation, and coordinated loco-manipulation tasks using large-scale physics simulation. The role includes reward and curriculum design, motion imitation, sim-to-real transfer, and close collaboration with robotics, mechatronics, and embedded teams to validate policies on real hardware.

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