[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

# 用户画像算法实习生

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/18678)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 用户画像算法实习生

## Job description
- 通过对用户行为数据的挖掘，对用户进行建模，精准刻画用户各属性；
- 承担用户画像算法的研发，优化画像模型效果，包含建模、特征优化、模型优化等；
- 对用户长期兴趣进行建模，参与视频推荐优化；
- 分析和研究数据与实际业务，针对具体业务场景，挖掘各类人群标签，对用户进行分级建设，深入理解用户。
- 硕士及以上学历，具备扎实的数学和数据挖掘功底，以及坚实的文本挖掘和机器学习理论基础；
- 了解Hadoop/MapReduce/Spark/Hive等常用大数据处理工具优先；
- 熟练掌握至少一种编程语言GO/Java/C++/Scala/Python，熟悉Linux系统及常用Shell命令；
- 有互联网公司有大规模用户画像实践经验，参与过用户画像建模、用户画像系统或DMP 系统的开发工作优先；有推荐系统优化经验优先；
- 有良好的数据直觉，善于协调数据信息资源，对前沿算法有较为清晰的理解，对用户画像数据的使用有清晰的认识，对用户画像技术的发展趋势有独到理解。

## 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/18678)

## 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/)
