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Open nowPosted 35 days ago

知识图谱与智能记忆算法实习生 - PICO

ByteDance19,258 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now知识图谱与智能记忆算法实习生 - PICOByteDance · Beijing, Chinese Mainland

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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. ByteDance postings stay open a median of 23 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%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 35 days ago

ByteDance median: 23 days open

The posting

团队介绍：作为一家拥有自主创新和研发创造能力的科技品牌，PICO致力于成为领先的世界级XR平台，成就开发者与创作者，共同为全球消费者创造更美好的生活体验。我们开创性地将虚拟现实扩展到了多个领域，为运动、视频、娱乐等消费级场景带来了全新体验；并广泛应用在教育、医疗和企业培训等商用场景，给全球企业级用户提供了多元化的VR解决方案。

ByteIntern：面向2027届毕业生（2026年9月-2027年8月期间毕业），为符合岗位要求的同学提供转正机会。

1、参与记忆系统的知识图谱设计，围绕人物/事件/任务/地点等实体，定义关系结构与时间属性； 2、探索基于大模型的信息抽取方法，实现实体识别/关系抽取/事件抽取与实体消歧，将非结构化内容转化为结构化记忆； 3、研究记忆更新机制，处理重复信息合并/事实冲突/关系变化与过期信息，保留信息来源及时间依据； 4、探索知识图谱与向量检索结合的记忆召回方案，支持人物背景查询/事件关联与多跳问答； 5、构建评测数据与实验流程，评估抽取准确率/实体对齐效果/检索质量及回答的事实一致性，推动算法原型落地。

1、2027届硕士及以上学位在读，计算机/人工智能/软件工程等相关专业； 2、具备扎实的数据结构/算法与机器学习基础，熟练使用Python/TypeScript，具备良好的代码实现、实验分析与问题定位能力； 3、了解知识图谱基础，对信息抽取/实体链接/关系建模/图检索中的至少一个方向有项目或研究经验； 4、了解大语言模型与RAG，能够使用模型API或开源模型完成数据处理/算法验证与效果评估； 5、能够阅读英文技术资料，主动推进问题分析与方案验证，具备良好的沟通协作能力。

加分项 1、使用过Neo4j/FalkorDB/NebulaGraph等图数据库，熟悉Cypher或其他图查询语言； 2、有GraphRAG/时序知识图谱/Agent Memory或个性化智能助理相关实践； 3、有对话/音视频转写等真实数据的处理经验，了解跨会话实体对齐和信息溯源； 4、有相关论文/开源贡献或可展示的完整项目。

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