[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Tencent Holdings jobs](https://jobs.opennash.com/companies/tencent-holdings/) · [Search jobs](/search/)

Tencent Holdings · Beijing

# 腾讯游戏-多模态大模型数据工程师/专家

Beijing 

Listed on Tencent Holdings’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2083008232841981952)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 腾讯游戏-多模态大模型数据工程师/专家

## Job description

### Responsibilities
- 对接视频/图片/音频等各类多模态模型的数据生产需求，打造业界领先的数据生产引擎，持续提升数据规模、质量与迭代效率，支撑多模态生成模型训练；
- 搭建Data-Centric多模态数据处理Pipeline，覆盖算子开发、跨模态检索、内容理解及质量筛选等关键环节；
- 构建高可用、高吞吐的数据存储和服务框架，持续优化多模态数据的存储以及检索效率。 Requirements
- 计算机、软件工程、数学、电子信息、自动化等相关专业，本科及以上学历；
- 计算机基础扎实，熟练掌握Java/C++/Python语言中的一种，有服务端系统的开发经验；
- 熟练掌握文本、多模态等非结构化数据处理方法，熟悉数据清洗、特征提取和数据增强等技术；
- 熟悉分布式计算或大数据处理框架，了解Ray、Spark、Hadoop、Flink相关技术栈；
- 聪明好学，有较强的自驱力和学习力，良好的沟通协作能力。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 12, 2026
- Last checked: Oct 19, 2026
- Listed for: 7 days
- Location: Beijing[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2083008232841981952)

## More jobs at Tencent Holdings

### [3D动作游戏《狩》-后台开发-UE5 DS后台开发](https://jobs.opennash.com/companies/tencent-holdings/jobs/6d535d770b7d94786b5e/)

Beijing

### [AI infra研发工程师(北京/深圳)](https://jobs.opennash.com/companies/tencent-holdings/jobs/eda44bea14836b2b9952/)

Beijing

### [AI ⽹络集合通信库运营⼯程师](https://jobs.opennash.com/companies/tencent-holdings/jobs/59f91606e7bdc470bf0b/)

Beijing

### [Aigc内容检测算法工程师（图像与视频方向）](https://jobs.opennash.com/companies/tencent-holdings/jobs/ca1cf721bb29a8df9bdf/)

Beijing

### [AI智能体评测高级工程师](https://jobs.opennash.com/companies/tencent-holdings/jobs/9312d7b2c30640f3f245/)

Beijing

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)
