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JD.com · 北京市-北京市

# 物流场景视觉理解与生成基座大模型

北京市-北京市 Internship or early career 

Listed on JD.com’s official careers site. Posted July 20, 2026. Check that it is still open and apply there.
[Apply on JD.com’s careers site →](https://campus.jd.com/#/details?id=8994)

[OpenNash Jobs](https://jobs.opennash.com/) / [JD.com](https://jobs.opennash.com/companies/jd/) / 物流场景视觉理解与生成基座大模型

## Job description

工作职责
- 设计并开发物流场景下的视觉基座大模型，确保模型能够准确理解和处理空间智能、细颗粒度视觉信息准确识别与理解及物流场景的常识问题。
- 研究和分析物流环境中的空间关系，优化模型以提高其在物体体积与容积识别、空间理解和场景动态交互理解中的表现。
- 将行业内的物流常识融入模型设计，确保模型能够理解和预测物流操作中的常见场景，例如货物堆叠、搬运和装卸等动作。
- 建设物流场景的仿真环境，实现物流世界垂域生成大模型，确保模型能够模拟和预测物体在物流环境中的行为，包括碰撞、重力影响和物体稳定性等。 任职要求
- 计算机视觉或人工智能等相关领域的本硕博在校生。
- 熟练掌握Python编程及PyTorch/TensorFlow，深入了解Transformer架构及大模型分布式训练技术。
- 具备丰富的计算机视觉项目经验，熟悉Linux开发环境或主流分布式训练工具。
- 拥有视频理解、多模态大模型或物理世界生成模型的预训练与微调经验者优先。
- 在相关领域顶级学术会议发表过论文者优先。

## At a glance
- Posted by the employer: Jul 20, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 91 days
- Location: 北京市-北京市
- Employment type: Internship or early career[Apply on JD.com’s careers site →](https://campus.jd.com/#/details?id=8994)

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