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JD.com · 北京市-北京市

# 基于AI Agent的搜索体验全链路优化研究

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=8892)

[OpenNash Jobs](https://jobs.opennash.com/) / [JD.com](https://jobs.opennash.com/companies/jd/) / 基于AI Agent的搜索体验全链路优化研究

## Job description

工作职责
- 负责LLM/VLM的持续预训练与后训练，全面提升模型在电商领域的业务理解与知识推理能力。
- 构建下一代电商语义召回体系，提升复杂语义与个性化需求的召回率与准确性。
- 探索预训练、RAG、Agent等大模型前沿技术，驱动AI搜索助手的创新应用与体验升级。
- 构建基于大模型的生成式推荐新范式，利用深度推理能力实现潜在需求的精准预测。
- 研发基于Agent架构的智能推荐交互购物链路，通过多轮对话与长短期记忆机制变革交互体验。 任职要求
- 计算机、人工智能、自动化、数学或物理等相关领域的本硕博在校生。
- 深刻理解大模型与深度学习底层原理，熟悉预训练及后训练关键算法，具备极强的算法开发与编程落地能力。
- 对Agent、知识注入、RAG机制及大模型在电商搜推业务中的前沿应用具有浓厚兴趣。
- 具备扎实的学术创新能力，能够将前沿理论与电商核心业务深度结合并推动系统化落地。
- 在NeurIPS、ICML、ACL、CVPR、SIGIR等AI或搜推领域顶级会议有论文发表经历者优先。

## 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=8892)

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