[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 · Hangzhou # 大模型算法实习生（Aigc方向） Hangzhou 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/30872) [OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 大模型算法实习生（Aigc方向） ## Job description ### 前沿探索与落地 - 负责AIGC（文生图/图生视频/数字人）和大语言模型在品牌广告场景的前沿算法研究，包括但不限于：创意文案生成、广告视频智能剪辑、数字人播报、多模态内容理解等； ### 模型微调与优化 - 参与大模型的指令微调（SFT）、人类反馈强化学习（RLHF）以及LoRA等高效参数微调工作，提升模型在广告营销场景的生成质量与业务相关性； ### 工程化实践 - 配合工程团队，将研究算法进行服务化封装（如基于vLLM/Triton的推理服务），优化模型推理性能（显存优化/量化/加速），确保算法在高并发、低延迟环境下稳定运行； ### 数据闭环 - 参与构建高质量的数据集（清洗、标注、评估），建立自动化评估体系，持续迭代模型效果。 ### 学历背景 - 计算机、人工智能、数学等相关专业，硕士或博士在读（优秀的本科高年级同学亦可），能保证3-6个月的实习时间，每周出勤4天以上； ### 编程功底 - 扎实的Python/C++编程能力，熟悉Linux环境开发，掌握PyTorch/TensorFlow等主流深度学习框架； ### 理论基础 - 熟悉Transformer架构、BERT/GPT系列模型原理，对多模态模型（如CLIP、Stable Diffusion、LLaVA）或大语言模型（LLaMA、Qwen等）有深入理解； 加分项（满足其一即可）： ### 有顶会论文者优先 - 在CVPR/ICCV/ACL/EMNLP/ICML等顶级会议或期刊上发表过相关论文； ### 有开源贡献者优先 - 熟悉HuggingFace、LangChain、Diffusers等社区生态，有开源项目贡献经历或自己训练/微调过开源大模型； ### 工程能力强 - 有模型推理加速经验（TensorRT/ONNX/vLLM）、有分布式训练经验（DeepSpeed/Megatron）。 ## 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[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/30872) ## More jobs at Kuaishou Technology ### [3D动画编导-【游戏事业部】](https://jobs.opennash.com/companies/kuaishou-technology/jobs/d6d172f6765097ab3560/) Hangzhou ### [AI Agent研发实习生（AgentOps方向）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/c9c7a3ce473a3d27384e/) Hangzhou ### [Aigc素材创意生成算法工程师/专家](https://jobs.opennash.com/companies/kuaishou-technology/jobs/4464c8d0dec507f09e72/) Hangzhou ### [AI产品实习生-【电商】](https://jobs.opennash.com/companies/kuaishou-technology/jobs/ff952ddc55634e1e6159/) Hangzhou ### [AI产品经理实习生-【电商】](https://jobs.opennash.com/companies/kuaishou-technology/jobs/1058238cbbfe65b92bc1/) Hangzhou ## Similar jobs at other companies ### [大模型算法实习生](https://jobs.opennash.com/companies/xiaomi/jobs/f72549663ea89b561472/) Xiaomi · 北京 ### [大模型算法实习生-武汉](https://jobs.opennash.com/companies/xiaomi/jobs/31c02ccc28417901c4b3/) Xiaomi · 武汉 ### [AI设计师（Aigc方向）](https://jobs.opennash.com/companies/ping-an-insurance/jobs/a78e5501699b97e8cb18/) Ping An Insurance Group · 深圳市 ### [元宝-大模型策略产品经理（Aigc方向）](https://jobs.opennash.com/companies/tencent-holdings/jobs/97a0c1f3e391607fab79/) Tencent Holdings · Shenzhen 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/)