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# 【基座大模型北斗实习】大模型复杂推理前沿研究

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=4346825573)

[OpenNash Jobs](https://jobs.opennash.com/) / [Meituan ](https://jobs.opennash.com/companies/meituan/) / 【基座大模型北斗实习】大模型复杂推理前沿研究

## Job description

### 简介

Reasoning（推理）是大模型理解和处理信息的核心能力，是通用智能水平逼近的重要观测维度。本课题聚焦于探究生成式模型的高级推理发生机制，提升大模型在复杂任务上的推理表现。

### 研究内容包括但不限于
- 复杂任务推理应用效果优化，诸如逻辑推理、数学推理、代码推理、跨模态推理、多模型决策等。
- RL scaling，通过大规模强化学习持续提升模型推理能力。
- Test time scaling，通过增加inference时消耗的算力持续提升模型推理能力。
- 熟悉NLP、LLM、RL等相关领域，对其中一个或多个方向有深入的研究经历，且有相关实际项目经验；
- 熟悉Python、C++等至少一门编程语言，熟悉LINUX环境；
- 熟悉 Megatron、DeepSpeed 等开源训练框架；
- 熟悉PPO、DPO、GRPO等常用RL算法。

### 加分项

1、有影响力的开源项目中做出过核心贡献； 2、发表过高水平论文优先（如NeurIPS,ICLR,ICML,ACL,EMNLP等）。

## 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=4346825573)

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