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Meituan · 北京市 +1 more

# 大模型算法实习生

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=4371090032)

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

## Job description
- 探索LLM前沿领域研究，包括但不限于数据建设、模型预训练、多模态、模型压缩、推理优化、逻辑推理、智能体、MoE、Scaling law和模型评估等工作。
- 负责优化和提升LLM对齐效果，包括数据质量优化、指令微调、奖励模型优化、强化学习（RL）策略迭代等，持续提高算法的效率和性能。
- 研究并优化模型在多模态工具调用 (Tool Use)、测试时适应 (Test-Time Scaling)、任务扩展 (Task Scaling) 及长序列能力 (Long-Sequence ability) 等前沿方向的能力。
- 有计算机科学、数学、统计学或相关领域的硕士或博士学位。
- 熟悉Python、Java等至少一种编程语言与深度学习框架，具有良好的编程能力和扎实的数学理论基础。
- 具备1年以上NLP经验，参与过大模型预训练、后训练和强化学习等任务的效果优化工作，能够根据实际问题改造和优化算法。
- 关注行业前沿进展，对技术开发及应用有热情，有自己的想法并乐于挑战自我。
- 良好的沟通能力，跨团队协作能力，具备出色的规划、执行力，强烈的责任感，以及优秀的学习能力和自我驱动力。 6. 6个月以上，每周到岗4天以上。 1. 能够接触到丰富GPU算力和海量数据，良好的技术氛围和技术牛人； 2. 能够触达丰富的业务，具备技术挑战，使用技术手段解决业务中的实际问题。

## 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=4371090032)

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