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Kuaishou Technology · Hangzhou, Beijing

# 多模态大模型算法实习生-【电商】

Hangzhou, 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/32804)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 多模态大模型算法实习生-【电商】

## Job description

### 参与电商场景下文本、多模态相关模型能力建设，包括但不限于
- 基于开源/自研基座模型的多模态理解、品牌识别、商品类目识别、关键信息抽取、实体识别、文本分类、知识图谱构建等；
- 参与构建业内领先的内容安全、内容理解识别方法，探索前沿技术（如多模态理解、RAG、Agent、token压缩等），并应用落地到电商业务场景中；
- 亿级数据规模下，探索内容理解信号用于改善电商用户体验，提升转化指标等。
- 计算机或者相关专业博士或硕士在读，一周至少实习4天，3个月及以上实习期；
- 熟悉常用的机器学习和深度学习算法，熟悉主流LLM/VLM结构（LLAMA/DeepSeek/Qwen/MoE系列等），熟悉常见PEFT技巧/RAG/Agent等大模型应用，熟悉常见数据清洗/CoT构建/数据蒸馏等方法，熟悉常见强化学习算法（PPO/DPO/GRPO等）。具备以上一项/多项基础，并有一定实践经验；
- 具备较强的编码能力，熟悉Python，熟悉PyTorch/TensorFlow等至少一种主流深度学习框架；
- 具备优秀的学习能力和良好的沟通合作精神；

### 加分项
- 在自然语言处理、计算机视觉、机器学习领域（NIPS/ACL/EMNLP/CVPR/ICCV/ECCV/AAAI等）有论文发表；国际知名竞赛获得前三名次。

## 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: Hangzhou, Beijing[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/32804)

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