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Kuaishou Technology · Beijing

# 多模态大模型预训练算法专家

Beijing 

Listed on Kuaishou Technology’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/26283)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 多模态大模型预训练算法专家

## Job description
- 参与快手自研多模态大模型预训练算法工作，依托快手视频社区平台，构建最具影响力的多模态理解基座模型和开源生态；
- 参与多模态大模型架构探索，包括但不限于万亿级参数多模态MoE模型的训练、多模态信息编码方案设计、探索更高效的图文/视频/音频等编码方式、多模态表征学习和语义对齐策略的探索、超长上下文模型开发等；
- 参与高质量预训练数据构建，包括从但不限于大规模混合模态预训练数据构建（探索多模态Scaling）、高质量多模态语义对齐数据合成、探索模型自我迭代提升路径、感知能力专家模型研发（包括OCR、Caption、Grounding等）；
- 参与生成理解统一的多模态大模型研发。 1、硕士及以上学历，有较强的工程实现能力； 2、在大规模预训练、模型对齐、强化学习、RAG、Agent、对话系统、大模型应用等至少其中一个方向有深厚的项目经验和洞察力； 加分项：
- 在NOI、ACM-ICPC等国内外知名算法竞赛中取得优异成绩；
- 主导或作为主力参与过有影响力的开源项目；
- 在NeurIPS、ICLR、ICML、ACL等人工智能领域顶会或期刊发表过高质量研究论文。

## 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: Beijing[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/26283)

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