[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 # 大模型视频生成评测实习生-【技术方向】 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/29716) [OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 大模型视频生成评测实习生-【技术方向】 ## Job description - 参与视频生成大模型（AIGC Video / Text-to-Video）自动评测体系的研究与建设，探索高效、可靠的视频生成模型评价方法； - 复现并分析各类开源视频生成评测指标与Benchmark（如 FVD、CLIP-based metrics、VBench 等），研究其适用范围与局限性； - 探索基于 LLM / VLM 的自动评测方法（如 LLM-as-a-Judge、Vision-Language Model-based evaluation），提升自动评测与人工评价的一致性； - 参与技术报告或论文撰写，沉淀评测方法与研究成果。 - 本科及以上学历，计算机技术、人工智能、机器学习、数据科学等相关专业优先； - 具备扎实的机器学习 / 深度学习基础，对生成模型或多模态模型有一定理解； - 对视频生成、AIGC、多模态理解与评测方向有浓厚兴趣； ### 具备优秀的代码基础，熟练掌握至少一门编程语言 - Python（优先）、C/C++、Java； ### 了解常见 AI 模型与算法基本原理，例如 - Transforme、CLIP 、 CNN、GAN 、VAE、Diffusion Models 、DiT等； - 熟悉机器学习模型评估方法与指标与模型评测与实验设计方法； - 具备良好的数据分析能力与数据化思维，能够基于实验结果进行系统分析并输出结论； ### 有以下经验之一者优先 - 1）LLM / VLM 相关研究或工程经验； 2）自动评测 / LLM-as-a-Judge 相关实践； 3）Benchmark 构建或评测体系设计经验； ### 加分项 - 1）参与AIGC、大模型相关的项目研发测试经验优先，有竞品大模型评测经验优先（如通义、即梦、混元等）； 2）有顶会论文、国家或国际奖项、专利获得者、算法竞赛获奖者优先考虑； 3）有训练或微调常见CV、NLP、LLM、MLLM模型经验优先； 4）有扎实的美术素养、设计经验、视频创作影视导演编导、或者有互联网公司相关经验者优先。 ## 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/29716) ## 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 ### [腾讯营销Hrbp-技术方向](https://jobs.opennash.com/companies/tencent-holdings/jobs/8290a89944d612c8c0e5/) Tencent Holdings · Beijing ### [管理储备生（技术方向）](https://jobs.opennash.com/companies/shanghai-pharmaceuticals/jobs/75a181643577d4d70099/) Shanghai Pharmaceuticals · 全国 ### [技术方向-具身智能与机器人开发](https://jobs.opennash.com/companies/jd/jobs/3147551f7a76395633b9/) JD.com · 北京市-北京市 ### [技术方向-多模态大模型](https://jobs.opennash.com/companies/jd/jobs/800332a2d75ffd6b1600/) JD.com · 北京市-北京市 ### [高端招聘专家（技术方向）](https://jobs.opennash.com/companies/meituan/jobs/c10685266047df453ef8/) Meituan · 北京市 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/)