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JD.com · 北京市-北京市

# 大模型训练与RL infra创新探索研究

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=8851)

[OpenNash Jobs](https://jobs.opennash.com/) / [JD.com](https://jobs.opennash.com/companies/jd/) / 大模型训练与RL infra创新探索研究

## Job description

工作职责
- 研发面向智能体、具身智能及世界模型的前沿算法，结合RL Infra后训练基座进行Scale-Law深度优化。
- 突破并提升大模型在复杂任务中的训练、生成及仿真渲染全链路效能。
- 基于MoE/DiT/世界模型等先进架构，融合多P并行、压缩量化与算子融合等技术进行RL Infra的软硬协同设计（Co-Design）。
- 追踪业界最新的AI Infra进展，推动前沿强化学习框架在核心业务线的高效落地。 任职要求
- 计算机、高性能计算、具身智能或数学等相关STEM领域的本硕博在校生。
- 拥有扎实的计算机底层功底，熟悉VLM/VLA/世界模型等多模态理解及生成式模型的效能优化。
- 掌握大模型结合强化学习的核心算法，熟悉veRL/NemoRL等RL Infra架构及物理渲染引擎（如Isaac Sim）底层调优。
- 具备AI Infra全栈性能排查与优化经验，拥有知行合一的极致探究精神。
- 在顶级期刊或学术会议有论文发表，拥有ACM/NOI等竞赛获奖经历或核心开源贡献者优先

## 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=8851)

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