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Tencent Holdings · Shenzhen

# 混元多模态强化学习（RL）算法研究员（北京/上海）

Shenzhen 

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=2034532284522196992)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 混元多模态强化学习（RL）算法研究员（北京/上海）

## Job description

### Responsibilities
- 针对多模态模型开展强化学习算法研究，包括面向图像、视频生成的扩散模型，面向多模态理解的自回归模型，以及前沿统一多模态框架；
- 设计并开发强化学习训练框架与奖励建模策略，实现高效的大规模训练，提升训练稳定性，并解决奖励作弊等相关问题；
- 探索下一代强化学习范式，使其能更直接、更高效地从环境反馈中学习。 Requirements
- 本科及以上学历，计算机科学或相关专业；
- 具备出色的科研能力，在ICML、NeurIPS、ICLR、CVPR、ICCV、ECCV、SIGGRAPH等顶级会议发表过论文；
- 扎实的工程与编程能力，具备深度学习系统实现、模型训练与推理优化、CPU/GPU 加速、分布式训练与推理经验；
- 有扩散模型、自回归模型、文生图 / 文生视频生成相关经验者优先；
- 有 ACM/NOIP（信息学竞赛）参赛经历者优先。

## 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: Shenzhen[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2034532284522196992)

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