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Kuaishou Technology · Beijing

# 广告算法实习生-【电商策略算法部】

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/31567)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 广告算法实习生-【电商策略算法部】

## Job description
- 参与将大模型 与 AI Agent 技术应用于电商广告核心链路，包括自动化投放策略、冷启动优化、全链路效率提升等场景；
- 研究 LLM 在广告理解、用户意图识别、CTR/CVR 预估等经典算法问题中的创新应用；
- 探索生成式 AI 在广告创意领域的应用，利用多模态大模型实现智能文案生成、图片/视频创意优化、AIGC 素材生产；
- 参与设计基于强化学习 + 大模型的智能决策系统，优化广告拍卖机制与流量分配策略。 1、2027届优秀毕业生，计算机、数学、统计学等相关专业本科以上学历，博士、硕士优先； 2、熟悉 Linux，精通 C / C++、Java、Python 等至少一门编程语言，优秀的编码能力，扎实的数据结构和算法功底； 3、熟悉机器学习、数据挖掘、计算广告学相关基础知识，对常用算法有使用经验，并能根据实际场景进行优化，熟悉大规模数据挖掘处理、分布式计算； 4、善于阅读文献，快速学习，具备优秀的分析和解决问题能力，良好的沟通协作能力。

### 加分项
- 有互联网广告算法、搜索 / 推荐系统、机器学习、计算机视觉、计算广告学及博弈论相关领域研究，及一线互联网公司实习经验者优先；
- 在 NIPS、ICML、ICLR、IJCAI / AAAI、SIGKDD、CVPR / ICCV、ACL 等相关国际顶级会议或期刊上有文章发表者优先；
- 有 Kaggle、KDD Cup 等推荐算法、数据挖掘比赛获奖者优先；
- 有ACM / Topcoder Algorithm 或类似算法竞赛经历者优先。

## 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/31567)

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