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Embodied Intelligence Algorithm Engineer

Shanghai

Responsibilities

  1. Participate in research on imitation learning model training and deployment for multiple robot embodiments, as well as VLA model pre-training, fine-tuning, and deployment
  2. Participate in embodied manipulation data collection, model reproduction, and algorithm research

Requirements

  1. Graduate students (or above) in Computer Science, Robotics, or related fields, with a solid theoretical foundation, coding ability, and algorithm research skills
  2. In-depth understanding of and hands-on experience with imitation learning (ACT, Diffusion Policy, etc.), VLA (OpenVLA, Pi0), and reinforcement learning
  3. Familiar with current mainstream open-source robot datasets
  4. Experience with calling and deploying current open-source/closed-source large models
  5. Good communication skills and team spirit