强化学习研究员
北京、上海
全职
职位描述
1、强化学习算法研发:围绕机器人在强化学习,模仿学习与逆强化学习等开展前沿技术研究工作; 2、强化学习后训练:探索真机强化学习在具身大模型后训练领域的应用和算法突破,提升机器人完成复杂灵巧任务的能力; 3、效率提升:提升真机强化学习的样本利用率,探索多智能体强化学习和分布式真机后训练在具身领域的应用;
职位要求
任职要求: 1、研究生及以上学历,计算机、AI、Robotics等相关专业优先; 2、扎实的深度学习、强化学习基础(Model-based/Free RL、Online/Offline RL、Imitation learning),对机器人多模态、端到端运动操作、多指灵巧操作、Sim2real等有研究深度; 3、优秀的分析和解决问题能力,自驱性强,具备良好的团队协作素质; 4、算法和编程基础扎实,有机器人仿真、真机调试经历者优先; 5、在ICML/NeurIPS/ICLR/ICRA/RSS等顶会论文发表论文或参加过国际竞赛并获得成果的同学优先。
投递

AGIBOT is an Embodied AI foundation model company developing both the intelligence layer and the corresponding robotic embodiments needed to bring general intelligence into the physical world. Founded in 2023, AGIBOT is building a full-stack Embodied AI platform across foundation models, data infrastructure, simulation, robotic hardware, and deployment. AGIBOT’s “Three Intelligences in One” architecture integrates Locomotion Intelligence, Interaction Intelligence, and Manipulation Intelligence into a unified embodied system. AGIBOT’s portfolio spans humanoid robots, quadrupeds, dexterous systems, and commercial cleaning solutions. In March 2026, AGIBOT announced that its 10,000th robot had rolled off the production line.