[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 # 多模态 AI Infra实习生（数据工程方向） 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/32755) [OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 多模态 AI Infra实习生（数据工程方向） ## Job description - 服务快手多模态基模团队，参与数据生产、数据管理、模型评测等全链路数据工程建设，打造业界领先的多模态数据生产引擎，持续提升训练数据的规模、质量与迭代效率； - 搭建 Data-Centric 的多模态数据处理 Pipeline，负责高性能离线推理算子、多模态检索引擎等核心能力的开发，覆盖多模态数据的内容理解、标签分类、质量筛选、组织与合成等关键环节，持续优化数据处理、存储与检索效率； - 建设数据工程与模型评测平台，构建「样本—模型—评测」全链路的数据血缘与归因体系；通过工程与算法协同设计，完善多模态数据的全生命周期管理与质量保障体系； - 持续优化系统性能与工程效率，结合业务场景灵活选用和改造开源组件，建设高性能、高可用、易扩展的数据工程基础设施。 - 本科及以上学历，计算机、软件工程、人工智能等相关专业优先； - 计算机基础扎实，熟练掌握 Python、C++、Java 中的至少一种编程语言，具备良好的编码能力和系统设计意识； - 具备良好的工程素养、自驱力和协作能力，重视代码质量、系统性能与长期可维护性，能够灵活运用开源组件解决复杂工程问题并推动方案落地； - 有服务端、数据处理系统或 AI Infra 相关项目实践者优先； - 熟悉分布式计算或大数据处理框架（Ray、MPI、Flink 等），或熟悉向量检索与搜索引擎（Milvus、Elasticsearch 等）者优先； - 熟悉 LLM/VLM 模型离线推理优化，或熟悉大模型训练与推理框架（vLLM、SGLang、PyTorch 等）者优先； - 熟悉大模型训练全流程，理解预训练、监督微调、偏好对齐等关键阶段的基本原理，熟悉不同阶段的训练数据需求，以及数据采集、清洗、筛选、配比与质量评估等常用方法者优先。 ## 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/32755) ## 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 ### [算法工程师-多模态](https://jobs.opennash.com/companies/midea-group/jobs/d0fcc6cd74fa498fcea5/) Midea Group · 上海市 ### [算法工程师-多模态](https://jobs.opennash.com/companies/midea-group/jobs/d848e8ebba6758854125/) Midea Group · 佛山市 +1 more ### [AI策略产品经理-多模态](https://jobs.opennash.com/companies/xiaomi/jobs/ad827990f617fbfe8f3e/) Xiaomi · 北京 ### [MiMo算法研究员-多模态](https://jobs.opennash.com/companies/xiaomi/jobs/7807cbd8b8a0d73f47c4/) Xiaomi · 北京 ### [【LongCat大模型人才校招】基础模型 - 多模态](https://jobs.opennash.com/companies/meituan/jobs/93bf7e8d2c51b571e438/) Meituan · 北京市 +1 more 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/)