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Open nowPosted 5 days ago

【FY26】摄像头系统方向・AI 知识库应用实习生

neuehct/12847472 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now【FY26】摄像头系统方向・AI 知识库应用实习生neuehct/128474 · Shanghai, Chinese Mainland

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 5 days ago

The posting

1. 学习并梳理摄像头系统工程师的知识体系 了解车载摄像头系统架构、关键器件（图像传感器、镜头、ISP）、标定流程、图像质量评测、需求与测试流程等核心工作内容； 通过访谈带教工程师、阅读现有资料，盘点日常工作的高频问题类型（技术咨询、流程咨询、问题排查、经验查询等），形成问题清单。 2. 飞书知识库内容治理与结构化 对现有知识库文档进行整理、分类、打标签、去重与补全； 将隐性经验（答疑记录、问题排查过程、踩坑总结）沉淀为可检索的结构化知识条目，为 AI 问答提供高质量语料。 3. 搭建基于飞书知识库的 AI 问答工具 调研并落地可行方案（如飞书知识库 + 大模型问答、RAG 检索增强生成架构等）； 完成工具搭建、Prompt 设计与调优、知识库检索效果优化，实现针对工作内容的自动回复。 4. 测试与迭代优化 建立评测问题集，持续测试自动回复的准确率、覆盖率与满意度，迭代优化； 输出工具使用说明与维护文档，推动工具在团队日常工作中实际落地使用。 5. 完成带教工程师交办的其他辅助工作。

1、本科及以上在读，计算机、人工智能、电子信息、自动化、车辆工程等相关专业优先； 2、对智能驾驶、车载摄像头、图像处理有基本了解，或具备快速学习的强烈意愿； 3、了解大模型应用（Prompt 工程、RAG 等概念），有实际搭建过问答 / 知识库类应用经验者优先； 4、熟练使用飞书文档 / 知识库等协作工具，文档整理能力好； 5、具备 Python 编程基础（用于数据处理、检索调优）者加分； 6、逻辑清晰、沟通主动，能把业务内容准确转化为知识库条目； 加分项 -有 RAG / 向量数据库 / 大模型 API 调用的实际项目经验； -了解图像质量评测、摄像头标定等基础知识； -有知识库建设、内容运营经验。

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