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Kuaishou Technology · Beijing

# 电商增长&激励算法工程师/专家

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/26868)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 电商增长&激励算法工程师/专家

## Job description
- 设计并迭代智能营销算法模型，提升电商场景下的补贴券ROI、关注率、核销率等；
- 通过召回、排序等推荐算法，设计针对性的多目标优化策略、运筹优化策略和推荐策略，提升电商新回及活跃买家；
- 负责电商业务各算法场景的技术攻关，参与机器学习、深度学习领域的核心研发工作，包括但不限于神经网络模型的设计与优化，营销uplift模型、归因模型等的算法和系统研发。
- 硕士及以上学历，计算机、数学或统计学相关专业；
- 熟悉Linux、C++、Java或Python，优秀的编码能力，扎实的数据结构和算法功底；
- 具有智能营销、推荐系统、机器学习、数据挖掘或者自然语言处理等相关领域知识；
- 善于阅读文献，快速学习，具备优秀的分析和解决问题的能力，良好的沟通协作能力。

### 加分项
- 有推荐系统、机器学习、信息检索、自然语言处理、计算广告学及算法博弈论相关领域研究或实习经验；
- 理解广告算法、业务、技术架构，具备搜索广告或展示广告经验；
- 有用户增长业务经验；
- 在SIGKDD、ICML、NeurIPS、WSDM、WWW、ACL、RECSYS等相关国际顶级会议上有文献发表；
- 有ICPC、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/26868)

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