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Open nowPosted 104 days ago

Super Sparks-校招-多模态智能体交互研究员

nio/campus869 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen nowSuper Sparks-校招-多模态智能体交互研究员nio/campus · Shanghai, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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

  4. CV RocketApplied on nio/campus's own form.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. nio/campus postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 104 days ago

nio/campus median: 1 days open

The posting

-探索具身智能前沿技术，制定技术路线，统筹内部研发方向； -开发、微调视觉-语言-动作（VLA）大模型（如 RT-2、OpenVLA、Groot、pi0 等），实现环境理解、任务分解与动作生成； -设计基于 Transformer、Diffusion Policy 的抓取与运动规划算法，提升操作泛化性； -领导或参与核心算法研究，覆盖具身交互、感知、操作、仿真、训练等方向，提升具身能力与可靠性； -对特定场景使用仿真数据集或模型数据集强化训练，确保操作成功率； -在机器人平台部署 VLA 模型，通过模型量化、推理加速等方式提升整体执行效果； -推动相关工具建设，高效训练与验证部署，加快具身智能的产品化落地。

-计算机/机器人/人工智能等相关领域硕士或博士； -精通 Python/C++，掌握 PyTorch/TensorFlow 框架； -深入理解强化学习基本原理与核心算法（PPO、SAC 等）及常用框架； -深入理解大模型（VLM、VLA）开发流程（训练、微调、部署），并有实际项目经历； -深入理解机器人学习算法，具备强化学习用于机器人领域的项目经验； -在顶会（CoRL、ICRA、IROS、CVPR、ICLR 等）发表具身智能或大模型相关论文优先； -具备 OpenVLA、Groot、pi0 等 VLA 模型应用经验优先； -具备模型量化（Quantization）、边缘部署经验优先； -有持续学习和创新精神，能自主、高效工作。

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