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Kuaishou Technology · Beijing

# 机器学习平台工程师-算法引擎部

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/26507)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 机器学习平台工程师-算法引擎部

## Job description
- 参与设计与研发快手公司级机器学习平台，赋能深度学习及大模型等核心AI的模型迭代；
- 打造业界领先的机器学习自动化架构，支持模型开发、评估、部署、监控全链路智能闭环，集成模型版本控制、元数据管理等功能，支撑模型全生命周期管理，驱动核心业务指标持续突破；
- 构建大模型分布式推理编排系统，实现多机角色调度，支持千亿级参数模型的分布式训练与推理任务拆分及协同计算；

### 深度参与云原生AI基础设施的技术演进，研发包括
- 面向AI负载的预测式弹性伸缩系统，GPU资源调度与混部，高性能存储加速引擎等方向，持续推动云原生与AI技术的深度融合创新。
- 具有Golang/Java/C++等至少一种高级语言开发经验；
- 熟悉Kubernetes工作原理，熟悉调度器、资源扩展机制、容器运行时，有Kubernetes开发和维护经验；
- 有机器学习平台研发经验, 有大规模训练任务和推理服务的编排、在离线混部及资源调度经验者优先；
- 掌握HPA/VPA/KEDA伸缩策略，具备时序预测算法开发能力及生产环境落地经验优先；
- 具备良好的沟通能力和团队协作精神，严谨的工作态度，注重工程质量，有独立解决各种系统问题的能力；
- 善于学习新的知识，动手能力强，有强烈的责任心，喜欢钻研技术。

## 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/26507)

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