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Kuaishou Technology · Beijing

# 大模型算法实习生 -【反作弊Agent应用】

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/25684)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 大模型算法实习生 -【反作弊Agent应用】

## Job description

我们致力于运用大模型与Agent技术构建智能化的反作弊系统，解决人工诊断效率低、规则迭代周期长、泛化能力弱等核心问题。

### 作为实习生，你将参与以下方向的研发工作
- 研究基于大模型的智能Agent技术，提升对作弊行为的自动化识别与风险研判能力；
- 开发多模态内容理解与推理方法，构建具备可解释性的风险分析框架；
- 探索对抗样本防御与策略挖掘技术，增强模型的鲁棒性与泛化能力；
- 优化轻量化部署方案，实现高效且实时的风险检测与决策；
- 推动Agent与风控系统的集成，构建自动化的人机协同机制。 你将有机会参与前沿AI技术在工业场景中的深度应用，与资深研发团队共同攻克真实业务中的关键技术挑战。我们鼓励创新思维，并提供充足的资源支持你的研究与实践落地。
- 计算机科学、人工智能、电子工程等相关专业硕士或博士在读，具备扎实的算法与编程基础；
- 熟悉NLP、CV或多模态大模型相关技术，有Prompt工程经验或使用过Agent框架（如AutoGPT、LangChain）者优先考虑；
- 熟练掌握Python及主流深度学习框架（如PyTorch、TensorFlow），具备良好的算法实现与性能调优能力；
- 对反作弊与风控领域有浓厚兴趣，具备较强的逻辑思维与问题拆解能力。

### 加分项

具备强化学习、图神经网络、低代码/规则生成等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/25684)

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