•Experience in Python and PyTorch; background in computer vision, LLMs, imitation or reinforcement learning, or multimodal learning; good software engineering practices (Git, Clean code, reproducible experiments, documentation); familiarity with distributed training frameworks, ROS/
ROS2, basic robot kinematics/
control, simulators (e.g., Isaac, MuJoCo), data processing at scale, and experiment tracking (e.g., Weights & Biases)
•Master's degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or comparable with good grades
•Curious and proactive personality with a structured work approach