[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

# 视频搜索算法专家-【搜索】

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/2893)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 视频搜索算法专家-【搜索】

## Job description

我们负责快手视频搜索算法研发，致力于将大模型技术与海量数据深度结合，打造精准高效智能的下一代搜索范式。团队成员来自国内外顶尖高校，相关技术成果在ICLR/NIPS/KDD/SIGIR/WWW等顶会发表。 1、参与亿级用户规模视频搜索算法全链路研发工作，包括但不限于召回、排序、策略机制等模块，提升用户体验及留存等核心指标； 2、探索大模型在视频搜索场景的落地应用，包括但不限于生成式检索、多模态、排序模型scaling up、意图理解及GSB自动化评测等。
- 熟悉常用机器学习和数据挖掘算法，具有优秀的分析和解决问题的能力；
- 对搜广推算法、LLM/MLLM有深入研究经验；
- 有较强的工程实现能力，熟悉C/C++、Python。

### 加分项

1、在国际顶会上发表过搜推广/LLM/MLLM等相关论文； 2、有搜广推业务上大规模机器学习优化落地经验。

## 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/2893)

## More jobs at Kuaishou Technology

### [(大模型专项）多模态大模型算法工程师](https://jobs.opennash.com/companies/kuaishou-technology/jobs/98edf462c05648daadcf/)

Beijing

### [AI Agent 开发实习生（电商在线推荐引擎）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/5945a85b9a833fcbb5f8/)

Beijing

### [AI Agent 策略实习生](https://jobs.opennash.com/companies/kuaishou-technology/jobs/b814e14328b750da25f6/)

Beijing

### [AI Agent算法专家](https://jobs.opennash.com/companies/kuaishou-technology/jobs/0e36be4e740de43e02ad/)

Beijing

### [AI Agent算法专家（智能创作方向）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/41a78c4c892cbbd1bc50/)

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/)
