[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

# 音视频策略算法实习生

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/24588)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 音视频策略算法实习生

## Job description
- 负责挖掘海量用户数据，基于因果模型、机器学习模型等框架进行基础体验画像建设，包括但不限于 用户 x 内容 x 场景 的清晰度/流畅度/低延迟 偏好画像等；通过精准刻画用户基础体验属性，驱动音视频个性化策略下发；
- 负责构建带宽曲线预测、视频热度预测等时序模型，驱动音视频资源调度优化（e.g.，视频热度时序建模）；
- 负责探索大模型在时序预测、资源分配、人群画像偏好等场景的应用和落地；
- 负责与内外部团队合作，包括商业化、电商等，制定基于用户价值的体验和成本优化策略，并推动优化上线。
- 本科及以上学历， 数学、计算机、统计学相关背景；
- 对统计学、机器学习、深度学习有较深理解，有较强的模型设计与优化能力；
- 对大模型应用（包括fine tune）有一定了解优先；
- 熟练使用SQL，有R或者Python的编程经验，对于AB测试、实验评估、因果推断有实际工作经验、思考总结者尤佳；
- 具有良好的沟通能力，快速的学习能力，以及严谨的逻辑思维能力；
- 对短视频/直播领域的产品、技术知识有一定了解优先。

## 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/24588)

## 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/)