[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All JD.com jobs](https://jobs.opennash.com/companies/jd/) · [Search jobs](/search/)

JD.com · 北京市-北京市

# 基于数据驱动仿真与多智能体强化学习的决策系统研究

北京市-北京市 

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=8682)

[OpenNash Jobs](https://jobs.opennash.com/) / [JD.com](https://jobs.opennash.com/companies/jd/) / 基于数据驱动仿真与多智能体强化学习的决策系统研究

## Job description

工作职责
- 构建智能仓储与物流领域的数据驱动仿真引擎，训练高保真时序预测模型；
- 搭建分布式强化学习框架，驱动全局调度Agent进行并发训练与策略寻优；
- 建立人机协同场景建模方案，将一线作业随机性与干预纳入训练闭环；
- 主导Sim-to-Real架构设计，确保虚拟策略在真实仓储系统中安全落地。 任职要求
- 获得本科及以上学历，计算机科学、人工智能、自动化、运筹学等相关专业；
- 具备构建数据驱动仿真引擎的经验，能够进行高保真时序预测与环境模拟模型训练；
- 熟悉分布式多智能体强化学习框架，具备驱动全局调度Agent进行并发训练与策略寻优的实战能力；
- 熟悉人机协同场景建模及Sim-to-Real架构设计，能够有效处理作业随机性与干预逻辑，并确保策略在真实物流环境安全落地。

## 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[Apply on JD.com’s careers site →](https://campus.jd.com/#/details?id=8682)

## More jobs at JD.com

### [3D医疗影像多模态基础大模型研究](https://jobs.opennash.com/companies/jd/jobs/31cea141d3ff4222fc49/)

北京市-北京市

### [3D可控生成与空间智能多模态研究](https://jobs.opennash.com/companies/jd/jobs/9264cfdaab33cfb45f96/)

北京市-北京市

### [AI多模态存储与向量化计算探索研究](https://jobs.opennash.com/companies/jd/jobs/e91a2f3f9d7be9a91867/)

北京市-北京市

### [CodeAI代码大模型全链路与推理优化](https://jobs.opennash.com/companies/jd/jobs/234f9df632b03e4bec55/)

北京市-北京市

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)