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Kuaishou Technology · Beijing

# 搜索算法实习生

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/16733)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 搜索算法实习生

## Job description
- 通过语言模型、相关性建模、序列到序列生成、大模型SFT等手段，优化搜索词补全、搜索词推荐等业务场景，带来快手用户搜索次数和搜索体验的增长；
- 基于LLM、多模态生成模型等前沿技术，结合用户行为和视频内容理解，探索为视频看后搜等场景生成优质搜索词；
- 在快手海量视频及用户数据下，通过用户/视频表征学习、序列建模等技术创新，挖掘对排序有用的特征信息，提升点击与消费时长预估，持续优化大规模推荐系统的召回、排序算法。
- 计算机、自动化、数学相关专业本科及以上学历，或您熟悉信息检索/自然语言处理/机器学习/深度学习算法；善于思考，有较强的分析与解决问题的能力；
- 熟练掌握Java/C++/Python中至少一门语言，能够熟练运用基础数据结构和算法；
- 在顶级计算机学术会议（SIGIR、SIGKDD、ICML、NIPS、WSDM、WWW、AAAI、CIKM、ACL、RECSYS等）或期刊上发表过论文者优先；
- 在点击模型/相关性/时效性/大规模日志挖掘/大模型应用和微调有相关经验，或参加过机器学习类竞赛并取得优异名次者优先。

## 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[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/16733)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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