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Open nowPosted 168 days ago

具身智能算法实习生

shengshu/index104 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now具身智能算法实习生shengshu/index · Beijing, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. shengshu/index postings stay open a median of 11 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 168 days ago

shengshu/index median: 11 days open

The posting

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。

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。

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