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Open nowPosted 8 days ago

知识图谱算法实习生

01ai/index54 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now知识图谱算法实习生01ai/index · Beijing, Chinese Mainland

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: posted 8 days ago

The posting

1、参与领域知识图谱的本体/Schema 设计，定义实体、关系、属性、事件体系。 2、基于 LLM Agent 构建自动化知识抽取 Pipeline：文档解析、切分、实体识别、关系抽取、事件抽取、三元组生成。 3、设计 Agent 工作流，包括任务规划、工具调用、记忆、反思与结果校验，提升抽取准确率和覆盖率。 4、参与知识融合与消歧：实体对齐、冲突检测、质量评估，并将结果写入图数据库。 5、结合 GraphRAG / KGQA，让 Agent 利用知识图谱进行检索、推理和多跳问答。 6、跟踪 LLM Agent、知识图谱、GraphRAG 前沿进展，完成实验复现与内部技术分享。

1、计算机、人工智能、NLP、数据科学等相关专业本科及以上在读。 2、熟悉 Python，具备良好的代码规范和独立调试能力。 3、理解知识图谱基础：实体、关系、三元组、本体、RDF/OWL、SPARQL/Cypher 等。 4、必须懂 Agent： 理解 Planning、Tool Use、Memory、Reflection、Multi-Agent 等基本范式。 5、使用过至少一种 Agent/LLM 框架：LangChain、LlamaIndex、AutoGen、CrewAI、Dify、Coze 等。 6、熟悉 Prompt Engineering，能调用 OpenAI / Claude / Qwen / DeepSeek 等大模型 API。 7、了解 NLP 基础任务：NER、关系抽取、事件抽取、文本分类、向量检索。

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