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JD.com · 北京市-北京市

# 角色扮演、代理行为及对抗博弈在 LLM 中的应用探索

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=8847)

[OpenNash Jobs](https://jobs.opennash.com/) / [JD.com](https://jobs.opennash.com/companies/jd/) / 角色扮演、代理行为及对抗博弈在 LLM 中的应用探索

## Job description

工作职责
- 负责大语言模型（LLM）的底层训练与推理架构设计优化，持续迭代并调优模型训练的核心策略。
- 探索并应用强化学习与后训练前沿技术，大幅增强模型在角色扮演、复杂知识问答及高情商对话等场景下的拟真能力。
- 研发Agentic LLM与对抗博弈LLM创新架构，突破大模型自主决策与多智能体博弈的技术边界。
- 深度评测LLM领域最前沿技术（SOTA），精准评估其商业应用价值并高效推动工程化闭环落地。 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。
- 具备扎实的LLM理论知识与工程实战经验，熟悉数据生成、清洗、SFT、DPO、RAG及推理加速等全链路技术。
- 具备卓越的动手能力与核心代码功底，能快速跟进并复现国际前沿论文算法并完成系统验证。
- 具备敏锐的技术洞察力与优秀的业务场景抽象能力。
- 拥有ACM等高水平编程竞赛获奖经历，在CCF A类顶会有论文发表，或曾主导开源过高影响力模型者优先。

## 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=8847)

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