Reinforcement Learning Expert - Humanoid (human)

Neura Robotics GmbH is seeking a highly skilled Reinforcement Learning Expert to join our core AI team in Zurich. The primary mission of this role is advancing the complex control and locomotion systems for state-of-the-art humanoid robots. Key responsibilities include designing, implementing, and testing advanced RL algorithms—such as PPO or SAC—to improve bipedal stability, dynamic movement generation, and general physical interaction capabilities. You will be responsible for integrating theoretical AI research into practical robotic hardware platforms. Ideal candidates possess deep expertise in continuous control, sim-to-real transfer, and experience working with major robotics simulation environments (e.g., Isaac Gym, MuJoCo). This role requires a proactive researcher who can transition academic concepts into robust, deployable robotic solutions.

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