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

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Kuaishou Technology jobs](https://jobs.opennash.com/companies/kuaishou-technology/) · [Search jobs](/search/)

Kuaishou Technology · Beijing, Hangzhou

# 大模型预训练算法专家【商业化风控】

Beijing, Hangzhou 

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/27641)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 大模型预训练算法专家【商业化风控】

## Job description
- 负责商业化风控垂域下预训练模型工作，参与构建风控大模型基座模型建设；
- 负责预训练模型的前瞻探索，包括但不限于语言模型、多模态模型；
- 完成预训练模型在实际业务场景中的应用并实现业务目标。
- 实际做过十/百亿参数以上超大模型的预训练，且解决了实际问题；
- 对预训练模型具备大模型任务调优经验，有自己见解，且做过相应的验证；
- 优秀的分析问题和解决问题能力，对解决具有挑战性问题充满激情；
- 有顶会（ACL\EMNLP\CVPR\ICML等）或者丰富刷榜经验者优先。

## 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, Hangzhou[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/27641)

## More jobs at Kuaishou Technology

### [AI安全专家](https://jobs.opennash.com/companies/kuaishou-technology/jobs/41b810ad789fb68572e0/)

Beijing, Hangzhou

### [AI应用开发实习生（研发效能方向）-【商业化】](https://jobs.opennash.com/companies/kuaishou-technology/jobs/898df3b56907cce1f883/)

Beijing, Hangzhou

### [AI应用研发工程师（品牌广告）-【商业化】](https://jobs.opennash.com/companies/kuaishou-technology/jobs/f073b7c92012a83a64cf/)

Beijing, Hangzhou

### [AI应用研发工程师（效果广告）-【商业化】](https://jobs.opennash.com/companies/kuaishou-technology/jobs/2da22855636c2ff7c95e/)

Beijing, Hangzhou

### [Hrbp-【电商】](https://jobs.opennash.com/companies/kuaishou-technology/jobs/72cddff94c16fc19abaf/)

Beijing, Hangzhou

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/)