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Meituan · 北京市 +1 more

# Agent算法实习生

北京市 +1 more 

Listed on Meituan ’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Meituan ’s careers site →](https://zhaopin.meituan.com/web/position/detail?highlightType=campus&jobUnionId=4555593816)

[OpenNash Jobs](https://jobs.opennash.com/) / [Meituan ](https://jobs.opennash.com/companies/meituan/) / Agent算法实习生

## Job description

### 后训练研究
- 深入参与模型对齐工作，重点研究多种后训练算法；探索结果奖励和过程奖励模型的构建，提升模型在复杂逻辑下的推理能力。

### Agentic RL优化
- 针对复杂业务场景，优化 Agent 的任务规划、反思与执行能力；提升模型在长链路任务中的稳定性和成功率。

### 前沿技术落地
- 跟踪业界前沿技术路线，负责相关算法的复现、调优及在业务场景中的工程化落地。
- 扎实的算法基础，熟悉LLM、NLP相关算法和模型；具备业务场景高质量训练数据构建的实际经验者优先。
- 熟悉 Hugging Face Transformers、PyTorch 等主流深度学习框架；具备Agent研发的实际经验者优先。
- 有 LangGraph、Swarm 等Agent框架使用经验，熟悉 MCP 协议及工具生态。有多智能体协作或复杂规划任务研发经验。
- 在ACL、EMNLP、NAACL、SIGIR等自然语言处理会议或期刊中有论文发表者，或在 Kaggle 及大模型相关榜单中取得优异成绩者优先。
- 每周至少全职工作四天，保证实习至少4个月。实习须征得导师同意。
- 直接参与大模型最核心的 RL 对齐 与 Agentic Reasoning 研究。
- 资深算法专家一对一辅导，团队技术氛围浓厚。
- 提供充足的计算资源及高质量的真实业务反馈数据（Human Feedback）。
- 支持高水平论文合作发表及开源社区贡献。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: 北京市 +1 more[Apply on Meituan ’s careers site →](https://zhaopin.meituan.com/web/position/detail?highlightType=campus&jobUnionId=4555593816)

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