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Kuaishou Technology · Beijing

# 算法实习生-【反作弊业务中心】

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/30073)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 算法实习生-【反作弊业务中心】

## Job description

### 负责算法模型在风控业务中的落地探索，包括但不限于
- 利用机器/深度学习模型以及LLM进行风险告警、风险分析、风险研判等；
- 构建面向风控场景的LLM应用，如自动化风险情报抽取、攻击模式总结、特征/规则生成与解释等；
- 参与大模型的指令微调(SFT)、对齐(RLHF)以及检索增强生成(RAG)系统的搭建，提升模型在垂直领域的判别与生成能力；
- 配合团队，将大模型能力集成到现有风控链路中，提升人效。
- 本科及以上学历在读，计算机、人工智能、自然语言处理等相关专业；
- 熟悉Python，掌握至少一种深度学习框架(PyTorch/TensorFlow等)，有良好的工程实践和代码能力；
- 熟悉大模型基础原理(Transformer、Attention、预训练等)，有LLM APl调用(OpenAl、Claude等）或开源模型(Llama、Qwen、ChatGLM等)使用经验；
- 有模型微调(LoRA/QLoRA)、Prompt Engineering、LangChain/向量数据库等任一方向的项目经历者优先；
- 每周需实习5天，连续实习6个月及以上，学习能力强，对新技术有热情，乐于探索未知，专注解决问题。

### 加分项

有风控、安全、反欺诈相关项目经验者优先。

## 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/30073)

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