About this role
基于数据驱动的无人装载机物料操作控制策略研究 at NetEase Leihuo (网易雷火). Location: Hangzhou, Zhejiang, China. Role: developing models, training policies, validating transfer Requirements: Proficient in Python and deep learning (PyTorch); solid ML foundation with interest in deep and reinforcement learning; strong coding, problem-solving, and teamwork; RL/imitation learning and robot engineering experience preferred; familiar with Linux and ROS. Category: Research and Development (R&D) Seniority: Entry Level Tools: Python, PyTorch, Linux, ROS Commitment: Internship Workplace: Onsite Languages: Chinese