具身智能算法实习生
北京
实习
研发 - 算法
职位描述
1、ICL-WAM融合算法研发:设计基于ICL的WAM任务表征学习方法,实现操作任务的上下文理解与零样本/少样本泛化 ; 2、Manipulation场景落地:将ICL+WAM算法集成至机械臂/灵巧手系统,解决抓取、插拔、装配等精细操作的语言→动作映射问题; 3、技术攻关:优化ICL在WAM中的长上下文利用效率、任务表征压缩策略,结合世界模型提升操作鲁棒性 ; 4、前沿跟踪与协作:跟进CoRL、ICRA等顶会成果,与硬件团队协同完成算法部署。
职位要求
1、AI、机器人、自动化等相关专业;有顶会一作论文者优先; 2、理解In-Context Learning核心原理,有Few-shot学习、提示工程经验; 3、理解World Model / World Action Model基本概念(了解Dreamer、DreamZero、Cosmos等优先); 4、熟悉机械臂/灵巧手Manipulation基础,有机器人操作项目经验; 5、熟练Python/PyTorch,了解ROS、Isaac Sim或Gazebo; 6、有算法工程化落地能力,能独立完成仿真→实物的算法迁移; 7、强问题导向、跨团队沟通能力与抗压能力。 加分项:有ICL + 世界模型在机器人操作中的项目经验;复现过InCLET、ReLIC或相关WM算法;熟悉VLA/VLM,有手眼协同、灵巧操作经验。
投递

We are the first General World Model ("GWM") company globally that built a GWM unifying the digital world and the physical world. We are dedicated to building a unified intelligence framework capable of modeling, reasoning, predicting and acting upon the underlying rules that govern both digital and physical worlds. Guided by first principles thinking, we use visual and auditory information, which naturally encodes the physical world, to train our foundation world model and replicate the human process of perceiving, simulating and interacting with the world, and ultimately, to enable AGI that connects the digital world with the physical world.