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Kuaishou Technology · Beijing

# 大模型小型化算法实习生

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/20272)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 大模型小型化算法实习生

## Job description

探索大模型小型化（蒸馏、量化）和推理策略（投机采样等）的前沿技术，完成在快手业务场景的落地方案。

### 我们有什么
- 有丰富的计算资源和mentor直接指导课题探索；
- 有大模型小型化/推理加速/MoE等最前沿的困难和挑战；
- 有大模型最全面链路的学习机会。
- 可以实习半年以上；
- 数学, 计算机, 自动化, 电子系专业硕博生；
- 有顶会论文发表经验(CV / NLP顶会, ICLR/ICML/NIPS均可)优先；
- 有较强的自驱力和学习力, 有文本生成模型(如GPT/LLaMA等)和图像生成模型(Diffusion系列)的训练及使用或开源项目经历优先；
- 有CUDA kernel或OpenAI-Triton开发经验优先；
- 了解强化学习优先。

## 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/20272)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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