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Kuaishou Technology · Beijing

# 广告生态推荐算法实习生 -【商业化】

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/25924)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 广告生态推荐算法实习生 -【商业化】

## Job description
- 参与亿级用户场景的多通道召回模型算法开发，包括但不限于双塔召回、图网络召回、生成式召回等召回模型，分析召回漏斗，持续优化用户-广告匹配效率；
- 研发多模态（文本/图像/视频）融合的深度学习推荐模型，应用Transformer、GNN、强化学习等前沿技术解决冷启动、用户长短期兴趣建模问题；
- 参与广告出价机制策略优化，分析oCPM/oCPC等智能出价模型效果，通过出价机制及排序策略，持续优化商业生态；
- 推动算法在工程侧的落地，与产品、数据团队协作，完成高性能算法模块的设计与部署；
- 跟踪业界前沿推荐技术（如大模型、多模态理解、多任务学习、因果推断等），推动技术成果在业务场景的转化。
- 熟悉C++与Python编程语言，具备扎实的数据结构与算法能力，熟悉高性能代码优化及多线程开发；
- 熟悉广告算法，业务，技术架构，熟悉常用的广告/推荐模型；
- 熟悉多模态融合推荐技术、大模型应用等相关项目经验者优先；
- 具备搜索广告或展示广告相关项目经验、商业生态体验优化项目经验者优先。

## 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[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/25924)

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