[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 · Beijing # 生态算法实习生（大模型）-【商业化】 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/26579) [OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 生态算法实习生（大模型）-【商业化】 ## Job description ### 大模型理解方向 - 探索多模态大模型在视频、图像、文本内容的理解能力，构建场景化模型，提升风险识别准召率； 研究视频/图像拒绝理由的可解释性归因方法，推动人机协同审核应用落地； 构建大模型在风险防控、开户业务等场景的垂类内容理解能力，优化模型对抗性及迭代效率； 开发视频、图文向量化表征技术，提升跨模态检索能力（如视频索引、图文相似性检索）； ### 大模型生成方向 - 研究多模态大模型（图像/视频）生成与修复技术，探索可控内容生成方法，提升风险素材过审率； 构建大模型训练、推理、评测的标准化流程，推动平台化能力建设与自动化迭代； ### 大模型推理部署方向 - 优化大模型推理框架（低延迟、高吞吐），研究量化、剪枝、动态调度等加速技术； 推动多模态大模型在工业级场景的轻量化部署落地。 *根据研究方向选择以上至少一个领域深入参与。 - 计算机科学、人工智能、电子工程等相关专业硕士/博士在读，扎实的算法与编程基础； - 熟悉多模态大模型（如Transformer、CLIP、ViT等）及生成模型（如Diffusion、GAN）、熟练使用PyTorch/TensorFlow等框架，熟悉分布式训练或模型压缩技术者优先、具备视频处理、跨模态检索、强化学习相关经验者加分； - 对技术前沿敏感，能独立复现论文算法并改进，有顶会论文发表或竞赛经验者优先； ### 逻辑清晰，责任心强，具备快速学习能力和团队协作意识； 加分项 - 熟悉大模型在风控、内容审核等场景的应用。 ## 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/26579) ## More jobs at Kuaishou Technology ### [(大模型专项）多模态大模型算法工程师](https://jobs.opennash.com/companies/kuaishou-technology/jobs/98edf462c05648daadcf/) Beijing ### [AI Agent 开发实习生（电商在线推荐引擎）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/5945a85b9a833fcbb5f8/) Beijing ### [AI Agent 策略实习生](https://jobs.opennash.com/companies/kuaishou-technology/jobs/b814e14328b750da25f6/) Beijing ### [AI Agent算法专家](https://jobs.opennash.com/companies/kuaishou-technology/jobs/0e36be4e740de43e02ad/) Beijing ### [AI Agent算法专家（智能创作方向）](https://jobs.opennash.com/companies/kuaishou-technology/jobs/41a78c4c892cbbd1bc50/) Beijing ## Similar jobs at other companies ### [微信-大模型(Agent)应用开发后台工程师](https://jobs.opennash.com/companies/tencent-holdings/jobs/9d95461ff2796b674fad/) Tencent Holdings · Beijing ### [微信-WeLM 大模型 RL 环境构建研发工程师（深圳、上海）](https://jobs.opennash.com/companies/tencent-holdings/jobs/a3b5845e244508c87467/) Tencent Holdings · Beijing ### [软件产品-应用软件开发工程师-大模型-杭州](https://jobs.opennash.com/companies/hikvision/jobs/faf7c506c3c26acebf5c/) Hikvision · 浙江省杭州市 ### [软件产品-高级应用软件开发-大模型-杭州](https://jobs.opennash.com/companies/hikvision/jobs/aa28c8cb37a684e2eba4/) Hikvision · 浙江省杭州市 ### [AI 开发工程师-大模型/端侧推理](https://jobs.opennash.com/companies/lenovo-group/jobs/60571071e4409488ef0c/) Lenovo Group · China, Tianjin, 天津（Tianjin） 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/)