[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

# 大模型算法工程师（引擎工程）-【算法中心】

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/30155)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 大模型算法工程师（引擎工程）-【算法中心】

## Job description

我们正在招募经验丰富、技术卓越的算法工程化工程师，负责构建与优化支持大规模深度学习模型的高效计算与部署平台。您将深入参与大模型训练框架开发、大模型优化、推理加速等核心领域，为前沿 AI 模型的开发与落地提供关键技术支撑。 主要职责
- 参与安全/风控大模型训练框架的开发工作，实现支持分布式训练及Post-training（如RL）框架在业务场景的落地，优化模型训练效率与资源利用率，保障平台的高性能与稳定性；
- 参与大模型推理引擎的开发工作，在多硬件架构的环境下，支持在线/离线推理需求，优化推理耗时、内存占用及计算效率，应用动态批处理、上下文缓存、模型量化、推测解码等优化技术；
- 构建大模型智能体Agent应用，通过算法产品化能力，实现业务场景算法能力的标准化输出；
- 持续协同算法团队，推进前沿算法工程能力，转化为可落地的技术方案。 1、基本要求
- 计算机科学、软件工程、机器学习或相关领域本科及以上学历；
- 深刻理解深度学习原理及分布式训练框架（如 DeepSpeed/Horovod/Ray）；
- 熟练掌握至少一种主流深度学习框架（PyTorch/TensorFlow/JAX）；
- 扎实的编程能力，精通 Python 及至少一种系统级语言（Go/C++/Rust）； 2、有下列任意经验者优先
- 具备大规模模型（如 Transformer/LLM）训练与部署经验；
- 熟悉模型优化技术（混合精度训练/剪枝/量化）；
- 掌握云计算与容器化技术（Kubernetes/Docker/Terraform）；
- 具备新兴AI硬件（NVIDIA H系列/华为昇腾）调优经验。

## 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/30155)

## 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

## Similar jobs at other companies

### [微信小程序-大模型算法工程师-智能体方向](https://jobs.opennash.com/companies/tencent-holdings/jobs/1d10ddb9c87f6e704785/)

Tencent Holdings · Guangzhou

### [大模型算法工程师-实习](https://jobs.opennash.com/companies/xiaomi/jobs/213a1b9f5784b73bb705/)

Xiaomi · 武汉

### [大模型算法工程师](https://jobs.opennash.com/companies/midea-group/jobs/668f44517e0f3c6ddbe2/)

Midea Group · 佛山市 +1 more

### [大模型算法工程师-Airc](https://jobs.opennash.com/companies/midea-group/jobs/5dd2365ab68184fd57df/)

Midea Group · 上海市

### [大模型算法工程师-运筹方向](https://jobs.opennash.com/companies/sf-holding/jobs/55bec1d5db69b929731c/)

S.F. Holding · 广东省/深圳市

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/)