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Meituan · 北京市 +1 more

# 【基座大模型北斗实习】原生多模态大模型研究

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=4348771151)

[OpenNash Jobs](https://jobs.opennash.com/) / [Meituan ](https://jobs.opennash.com/companies/meituan/) / 【基座大模型北斗实习】原生多模态大模型研究

## Job description

### 简介

原生多模态旨在以统一的范式处理文本、视觉、语音等各个模态的数据，从而更加自然地进行模态融合，以及通过scaling友好的训练范式，解锁模型智能的新维度。

### 研究课题包括但不限于
- 探索early fusion阶段，引入图文交错/audio等多模态序列数据自监督预训练带来的scaling价值。
- 原生全模态预训练的training dynamic探究，模态之间的关系建模。
- 通过SFT / RL等手段，借助多模态token解锁模型新的智能维度，提升模型解决Robot/Gaming等物理世界问题的能力。

### 岗位要求
- 熟悉NLP、LLM、MLLM、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。

### 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=4348771151)

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