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Open nowPosted 16 days ago

具身后训练强化学习算法实习生

agirobot/internrecruitment367 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now具身后训练强化学习算法实习生agirobot/internrecruitment · Shanghai, Chinese Mainland

  1. YouYes, apply to this one.

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

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. agirobot/internrecruitment postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 16 days ago

agirobot/internrecruitment median: 2 days open

The posting

岗位职责 参与具身基础模型的后训练与强化学习研发，提升机器人任务的成功率、执行效率、鲁棒性与泛化能力。 参与机器人自主学习算法研究，利用真实执行中的成功、失败及环境反馈，探索减少人工依赖的方法。 参与机器人交互经验的数据配方与 Scaling Law 研究，分析交互规模与模型能力增长之间的关系。 参与具身后训练系统的开发与优化，提升训练与数据处理的效率、稳定性和可扩展性。 协助开展仿真及真机实验，完成算法实现、实验验证与结果分析，推动算法在实际任务中的迭代。 任职要求 硕士及以上学历，计算机、人工智能、机器人、自动化等相关专业，具备扎实的数学与机器学习基础。 熟悉强化学习基本原理，对 Offline / Online RL、VLA / VLM、具身大模型等方向中的一个或多个有所了解，并有浓厚的研究兴趣。 具备良好的算法实现与实验能力，能够在指导下开展问题分析、算法复现、实验设计与结果分析。 熟悉 Python 和 PyTorch，具备良好的代码能力；有大模型训练、强化学习或 RLinf 等框架使用经验者优先。 有相关科研经历、高水平会议论文、高质量开源项目或真实机器人实践经验者优先。

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