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Open nowPosted 302 days ago

大模型知识图谱算法实习生 - Seed 产品研发

ByteDance19,260 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now大模型知识图谱算法实习生 - Seed 产品研发ByteDance · Shanghai, Chinese Mainland

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The clock on this job

Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 27 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 302 days ago

ByteDance median: 27 days open

The posting

团队介绍：产品研发和工程架构-Seed 团队深耕大模型技术在场景中的创新应用，负责多款AI产品的工程研发 —— 包括豆包、飞书、豆包工作、豆包爱学、Gauth、猫箱等创新产品，覆盖消费级与企业级多个场景。我们致力于将大模型能力从 "生成内容" 推进到 "完成工作"，让 AI 服务用户日常与企业协作。你将面对多模态交互、工具调用可靠性、企业级数据安全等真实工程挑战，与团队一起推动 AI 生产力落地。

日常实习：面向全体在校生，为符合岗位要求的同学提供为期3个月及以上的项目实践机会。

1、知识图谱构建：协助设计和构建企业级知识图谱，打通协同场景（人、任务、文档、会议）以及跨业务系统的信息孤岛，实现知识的互联互通，为企业建立统一高效的知识管理体系，更好地支持LLM落地； 2、围绕Graph探索LLM新应用模式：基于企业知识图谱，协助探索RAG/Agent的落地新范式，使其能够在复杂的企业知识网络中进行精准的信息检索、关联分析和逻辑推理； 3、模型迭代与优化：协助持续优化大语言模型及RAG系统在企业知识管理领域的表现，构建针对性的评测方法，生产和维护高质量的企业领域数据集； 4、前沿技术研究与应用：密切关注知识图谱、LLM推理等领域的最新研究成果，将前沿技术应用于企业知识管理实践中。

1、本科及以上学历在读，计算机、软件工程等相关专业优先； 2、具备NLP、LLM应用或RAG其中一个方向的相关经验，具备较强的编程能力； 3、有较强的评测意识和科学的评测思路； 4、有较强的创新能力，有不断探索新AI技术和应用场景的强烈意愿和主观能动性； 5、有较强的解决问题能力，善于解决各种繁琐的技术问题（如：数据质量问题、训练问题、部署兼容性问题等）； 6、对数据比较敏感，能细致完成数据工作，包括数据质量、数据分布、案例分析、数据调优。

加分项： 1、有一定的GraphRAG或类似经验； 2、在垂直场景（如：法务/供应链领域知识管理）有一些相关案例沉淀； 3、在复杂知识管理场景上，做过多源异构知识的统一处理； 4、有处理音/视/图/文档的多模态相关经验。

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