[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Kuaishou Technology jobs](https://jobs.opennash.com/companies/kuaishou-technology/) · [Search jobs](/search/)

Kuaishou Technology · Beijing

# 资深广告算法工程师-【内容消费】

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/28842)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 资深广告算法工程师-【内容消费】

## Job description
- 负责内容消费广告业务策略及机制的设计，提升流量变现效率，优化客户营销推广效果；
- 重点行业广告匹配、排序算法策略的实现与优化；
- 客户策略机制设计，包括竞价、分配与客户生态优化等；
- 广告客户增长、留存与营销效率提升，客户差异化策略产品研发；
- 优化广告的深转模型（付费、LTV），包括模型结构、训练范式、特征挖掘、转化延迟建模等；
- 内容消费生态机制建设，包括运筹优化、Uplift建模/因果推断、强化学习、经济学等技术和理论。
- 熟悉常用的编程语言Python/Java/C++之一，精通数据结构与常用算法；
- 理解广告算法，业务，技术架构，熟悉常用的广告/推荐模型，具备5年以上搜索广告或展示广告相关经验；
- 数据驱动，有较强的数据挖掘能力和分析能力；

### 有广告相关竞价、OCPX出价、召回和效果优化策略相关经验者优先； 加分项
- 有互联网大型广告平台算法策略经验，有管理经验优先；
- 在顶级会议(ICML & NIPS & ICLR, Recsys & KDD)上发表过paper；
- 对于大模型、强化学习等技术有了解和热情。

## 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/28842)

## More jobs at Kuaishou Technology

### [(大模型专项）多模态大模型算法工程师](https://jobs.opennash.com/companies/kuaishou-technology/jobs/98edf462c05648daadcf/)

Beijing

### [AI Agent 开发实习生（电商在线推荐引擎）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/5945a85b9a833fcbb5f8/)

Beijing

### [AI Agent 策略实习生](https://jobs.opennash.com/companies/kuaishou-technology/jobs/b814e14328b750da25f6/)

Beijing

### [AI Agent算法专家](https://jobs.opennash.com/companies/kuaishou-technology/jobs/0e36be4e740de43e02ad/)

Beijing

### [AI Agent算法专家（智能创作方向）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/41a78c4c892cbbd1bc50/)

Beijing

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)
