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Kuaishou Technology · Beijing

# 短视频广告算法工程师-【海外商业化】

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/27959)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 短视频广告算法工程师-【海外商业化】

## Job description

团队负责海外广告算法优化，在生成式出价、推荐大模型、强化学习、拍卖机制等诸多领域有深入研究，在WWW、ICML、CIKM、WSDM等顶会有多篇论文发表，团队成员将有机会参与快手海外广告系统的算法研发与策略优化，涵盖分发链路、算法出价、流量策略、拍卖机制等关键领域，服务全球开发者和广告主，驱动广告业务增长。
- 设计并优化广告流量的匹配效率，结合大模型、生成式推荐GR等先进技术，构建高效语义压缩和长序列建模，优化召回、粗排、精排、混排、端排等模块，提升平台收益与开发者体验之间的平衡；
- 研发适用于海外广告生态的流量策略机制，采用自动寻参、黑盒优化、强化学习、uplift建模等技术提升流量分配效率，提升用户体验同时优化用户长期价值；
- 探索算法出价策略，推进AIGB、生成式出价、出价大模型等先进出价技术落地，优化出价产品效率和体验，牵引B端客户预算增长，实现B端和C端、平台三方整体效益的最优；
- 探索LLM在广告生态的价值，通过LLM的世界知识和推理能力解决广告投放链路中的效率问题。通过技术升级提升全平台投放效率和效益。
- 扎实的编码能力，熟练掌握C/C++/Python，有良好的算法优化能力；
- 掌握主流机器学习与推荐/广告算法，对推荐大模型、AIGB算法出价、Pxtr预估模型、强化学习、uplift建模、自动寻参等方向有深入理解；
- 具备良好的问题分析能力和系统性思维，能从复杂的数据中提炼有效信号并形成闭环优化；
- 有搜推广从业经验者优先。

### 加分项
- 有ACM、Kaggle、天池等国内外顶级赛事获奖者优先；
- 有KDD、WWW、SIGIR、CIKM、ICML等广告&推荐顶会发表文章者优先；
- 有生成式推荐大模型、生成式AIGB出价、强化学习等落地经验者优先。

## 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/27959)

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