[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 · Shanghai

# 原生多模态算法研究员

Shanghai 

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=2047219099016265728)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 原生多模态算法研究员

## Job description

### Responsibilities
- 参与原生多模态基座模型的核心研发，推动模型架构演进，实现图像、视频、音频与文本的全模态统一理解与高质量生成；
- 负责多模态算法优化，包括统一模态表示设计、多模态预训练策略、多尺度/长序列建模、生成一致性等前沿技术攻关；
- 探索模型架构优化与工程实现，提升超高分辨率图像、长视频等复杂场景下的计算效率与性能；
- 持续跟踪多模态领域前沿进展，推动技术突破与创新应用。 Requirements
- 计算机科学、人工智能、视觉计算、自然语言处理等相关专业硕士或博士学历；
- 深入理解多模态技术发展，熟悉 ViT、多模态预训练、自回归模型等技术路线，在 CVPR/ICLR/NeurIPS 等顶会有发表经验者优先；
- 具备强大的工程能力，精通 PyTorch，熟悉 DeepSpeed、Megatron-LM 等分布式训练框架，有超大规模模型训练经验者优先；
- 熟练掌握 Python，具备高性能算子开发或 CUDA 编程等底层优化能力者更佳；
- 对技术充满热情，具备优秀的复杂问题解决能力、坚韧的研发毅力和良好的团队协作精神。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Jul 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 92 days
- Location: Shanghai[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2047219099016265728)

## More jobs at Tencent Holdings

### [3A修仙RPG游戏-主策划](https://jobs.opennash.com/companies/tencent-holdings/jobs/89e9be0bc8522a47c921/)

Shanghai

### [3A动作冒险游戏-战斗主策划](https://jobs.opennash.com/companies/tencent-holdings/jobs/9a81d086671e92a54e73/)

Shanghai

### [AI Infra研发工程师-上海/北京/深圳](https://jobs.opennash.com/companies/tencent-holdings/jobs/28bf4dec4ecc0f7de3c4/)

Shanghai

### [AI 沙盒体验资深设计师（深圳/上海）](https://jobs.opennash.com/companies/tencent-holdings/jobs/e74c7711c05491c1126d/)

Shanghai

### [AI产品海外解决方案架构师](https://jobs.opennash.com/companies/tencent-holdings/jobs/568fcdcf0fbc33d4bab0/)

Shanghai

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/)
