[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

# 海外电商增长算法工程师

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/30484)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 海外电商增长算法工程师

## Job description
- 负责快手海外电商业务的营销算法优化的研究与优化，包括用户价值建模、智能营销策略等，支撑业务增长；
- 深入分析海外用户行为与业务数据，设计并落地运筹优化、个性化推荐等算法策略，提升电商营销效果与转化效率；
- 跟踪推荐算法、因果推断、uplift建模等前沿技术，结合电商场景进行创新性探索与迭代，推动算法在公司级业务中落地。
- 扎实的编程能力，熟练掌握 C++/Java/Python 中至少一种语言，具备良好的工程实现能力与代码风格；
- 机器学习与统计学基础扎实，熟悉 TensorFlow、PyTorch 等至少一种主流学习框架；
- 有智能营销、因果推断、用户偏好预测等方向实际经验者优先；
- 具备出色的逻辑推理能力和数据敏感度，能够快速定义复杂业务问题，洞察本质，并提供系统性的解决方案；
- 有强烈的责任心与自驱力，良好的沟通协作能力及用户同理心，持续推动营销推荐系统的演进与优化。

## 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/30484)

## 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/)
