AGIBOT

强化学习工程师(真机操作方向)

AGIBOT  •  Onsite  •  1 hour ago
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Job Description

强化学习工程师(真机操作方向)

上海

全职

职位描述

  1. 负责真机强化学习算法的设计与落地,构建从仿真训练到真机部署的完整 RL pipeline,解决 Sim2Real 迁移中的核心挑战 2. 研发高效的 RL 训练方案,提升样本效率,使复杂灵巧操作任务能在有限训练时间内收敛到高成功率 3. 搭建人机协作训练体系,探索人类遥操作干预、奖励信号设计、渐进式自主等策略,降低真机训练成本 4. 构建分布式 RL 训练基础设施,对接多仿真器后端与真机环境,支持多算法并行实验与大规模数据采集 5. 跟踪真机 RL 与机器人操作领域前沿进展(如 SERL 等代表性工作),快速验证并落地到产品

职位要求

任职要求 1. 硕士及以上,计算机 / 机器人 / 自动化等相关专业 2. 具备真机强化学习的完整项目经验,熟悉从仿真训练到真机策略部署的全流程,了解 Sim2Real 迁移的关键技术(域随机化、阻抗控制、自动重置等) 3. 精通主流 RL 算法(SAC / PPO / TD3 / DrQ 等),有高样本效率训练的实际调优经验 4. 熟练使用 PyTorch 或 JAX,具备分布式训练或并行仿真环境的搭建经验 5. 良好的工程能力,熟悉 Linux 开发环境、ROS 通信、GPU 训练调度 加分项 - 有 SERL / HIL-SERL / RLinf等真机 RL 框架的使用或二次开发经验 - 接触过灵巧手、双臂协同等接触丰富的操作任务 - CoRL / RSS / ICRA / NeurIPS 等顶会 RL 或机器人方向论文

投递

AGIBOT

About AGIBOT

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.

Industry
Manufacturing & Production
Company Size
201-500 employees
Headquarters
Shanghai, CN
Year Founded
Unknown
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