企业微信-知识图谱算法工程师-（北京/成都）
Tencent
企业微信-知识图谱算法工程师-（北京/成都）
Job Description
企业微信-知识图谱算法工程师-（北京/成都）
📋 Job Overview
The Knowledge Graph Algorithm Engineer position at Enterprise WeChat involves advancing natural language processing technologies and constructing high-quality knowledge graphs for business applications. The role focuses on developing recommendation algorithms and high-performance graph computing solutions to enhance personalized recommendations and real-time queries. It also entails tracking and integrating cutting-edge technologies like large language models and graph neural networks to drive innovation in actual business scenarios.
📍 Location: Guangzhou, China
🏢 Business Unit: WXG
📄 Full Description
2.参与构建和优化高质量知识图谱，完成结构化/非结构化数据的信息抽取、知识融合、关系推理及图谱存储方案设计；
3.研发基于知识图谱的推荐算法，融合用户行为与图谱关联，提升个性化推荐的准确性与多样性；
4.设计高性能图计算算法，支持大规模知识图谱下的实时查询与智能推荐场景；
5.持续跟踪并引入NLP与图计算领域前沿技术（如大语言模型、图神经网络等），推动技术在实际业务中的创新应用。
🎯 Key Responsibilities
- 负责自然语言处理（NLP）技术的深入研发与落地应用，涵盖文本分类、实体识别、语义理解、信息抽取等核心任务
- 参与构建和优化高质量知识图谱，完成结构化/非结构化数据的信息抽取、知识融合、关系推理及图谱存储方案设计
- 研发基于知识图谱的推荐算法，融合用户行为与图谱关联，提升个性化推荐的准确性与多样性
- 设计高性能图计算算法，支持大规模知识图谱下的实时查询与智能推荐场景
- 持续跟踪并引入NLP与图计算领域前沿技术（如大语言模型、图神经网络等），推动技术在实际业务中的创新应用
🛠️ Required Skills
- Natural Language Processing (NLP)
- Knowledge Graph Construction and Optimization
- Information Extraction from Structured/Unstructured Data
- Knowledge Fusion and Relationship Reasoning
- Graph Storage Design
- Recommendation Algorithms
- Graph Computing Algorithms
- Large Language Models
- Graph Neural Networks
Locations
- Guangzhou, China
Salary
300,000 - 600,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Natural Language Processing (NLP)intermediate
- Knowledge Graph Construction and Optimizationintermediate
- Information Extraction from Structured/Unstructured Dataintermediate
- Knowledge Fusion and Relationship Reasoningintermediate
- Graph Storage Designintermediate
- Recommendation Algorithmsintermediate
- Graph Computing Algorithmsintermediate
- Large Language Modelsintermediate
- Graph Neural Networksintermediate
Responsibilities
- 负责自然语言处理（NLP）技术的深入研发与落地应用，涵盖文本分类、实体识别、语义理解、信息抽取等核心任务
- 参与构建和优化高质量知识图谱，完成结构化/非结构化数据的信息抽取、知识融合、关系推理及图谱存储方案设计
- 研发基于知识图谱的推荐算法，融合用户行为与图谱关联，提升个性化推荐的准确性与多样性
- 设计高性能图计算算法，支持大规模知识图谱下的实时查询与智能推荐场景
- 持续跟踪并引入NLP与图计算领域前沿技术（如大语言模型、图神经网络等），推动技术在实际业务中的创新应用
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Answer 10 quick questions to check your fit for 企业微信-知识图谱算法工程师-（北京/成都） @ Tencent.
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企业微信-知识图谱算法工程师-（北京/成都）
Tencent
企业微信-知识图谱算法工程师-（北京/成都）
Job Description
企业微信-知识图谱算法工程师-（北京/成都）
📋 Job Overview
The Knowledge Graph Algorithm Engineer position at Enterprise WeChat involves advancing natural language processing technologies and constructing high-quality knowledge graphs for business applications. The role focuses on developing recommendation algorithms and high-performance graph computing solutions to enhance personalized recommendations and real-time queries. It also entails tracking and integrating cutting-edge technologies like large language models and graph neural networks to drive innovation in actual business scenarios.
📍 Location: Guangzhou, China
🏢 Business Unit: WXG
📄 Full Description
2.参与构建和优化高质量知识图谱，完成结构化/非结构化数据的信息抽取、知识融合、关系推理及图谱存储方案设计；
3.研发基于知识图谱的推荐算法，融合用户行为与图谱关联，提升个性化推荐的准确性与多样性；
4.设计高性能图计算算法，支持大规模知识图谱下的实时查询与智能推荐场景；
5.持续跟踪并引入NLP与图计算领域前沿技术（如大语言模型、图神经网络等），推动技术在实际业务中的创新应用。
🎯 Key Responsibilities
- 负责自然语言处理（NLP）技术的深入研发与落地应用，涵盖文本分类、实体识别、语义理解、信息抽取等核心任务
- 参与构建和优化高质量知识图谱，完成结构化/非结构化数据的信息抽取、知识融合、关系推理及图谱存储方案设计
- 研发基于知识图谱的推荐算法，融合用户行为与图谱关联，提升个性化推荐的准确性与多样性
- 设计高性能图计算算法，支持大规模知识图谱下的实时查询与智能推荐场景
- 持续跟踪并引入NLP与图计算领域前沿技术（如大语言模型、图神经网络等），推动技术在实际业务中的创新应用
🛠️ Required Skills
- Natural Language Processing (NLP)
- Knowledge Graph Construction and Optimization
- Information Extraction from Structured/Unstructured Data
- Knowledge Fusion and Relationship Reasoning
- Graph Storage Design
- Recommendation Algorithms
- Graph Computing Algorithms
- Large Language Models
- Graph Neural Networks
Locations
- Guangzhou, China
Salary
300,000 - 600,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Natural Language Processing (NLP)intermediate
- Knowledge Graph Construction and Optimizationintermediate
- Information Extraction from Structured/Unstructured Dataintermediate
- Knowledge Fusion and Relationship Reasoningintermediate
- Graph Storage Designintermediate
- Recommendation Algorithmsintermediate
- Graph Computing Algorithmsintermediate
- Large Language Modelsintermediate
- Graph Neural Networksintermediate
Responsibilities
- 负责自然语言处理（NLP）技术的深入研发与落地应用，涵盖文本分类、实体识别、语义理解、信息抽取等核心任务
- 参与构建和优化高质量知识图谱，完成结构化/非结构化数据的信息抽取、知识融合、关系推理及图谱存储方案设计
- 研发基于知识图谱的推荐算法，融合用户行为与图谱关联，提升个性化推荐的准确性与多样性
- 设计高性能图计算算法，支持大规模知识图谱下的实时查询与智能推荐场景
- 持续跟踪并引入NLP与图计算领域前沿技术（如大语言模型、图神经网络等），推动技术在实际业务中的创新应用
Tags & Categories
Answer 10 quick questions to check your fit for 企业微信-知识图谱算法工程师-（北京/成都） @ Tencent.
Related Books and Jobs