WeGame游戏平台-AI算法研究
Tencent
WeGame游戏平台-AI算法研究
Job Description
WeGame游戏平台-AI算法研究
📋 Job Overview
The role focuses on AI algorithm research for the WeGame gaming platform, involving the training, fine-tuning, and deployment of deep learning and large language models tailored to gaming scenarios, as well as developing intelligent agents. Responsibilities include building data pipelines from large-scale user behavior datasets for user profiling and AI applications, while tracking cutting-edge AI technologies to drive business value. Collaboration with technical teams is key to optimizing models and services for product integration.
📍 Location: Shenzhen, China
🏢 Business Unit: IEG
📄 Full Description
2.负责大规模平台用户行为数据集的ETL及特征工程，构建高效数据流水线，落地到用户画像体系并服务到线上AI应用；
3.跟踪和研究前沿AI技术（如LLM、VLM、SFT、DPO、RAG、MCP等），推动技术落地业务发挥价值；
4.与技术团队协作，优化算法模型和服务性能，满足产品AI价值落地要求。
🎯 Key Responsibilities
- 结合游戏平台业务垂直场景，负责深度学习和大语言模型的训练精调、调优及部署，及智能体Agent开发
- 负责大规模平台用户行为数据集的ETL及特征工程，构建高效数据流水线，落地到用户画像体系并服务到线上AI应用
- 跟踪和研究前沿AI技术（如LLM、VLM、SFT、DPO、RAG、MCP等），推动技术落地业务发挥价值
- 与技术团队协作，优化算法模型和服务性能，满足产品AI价值落地要求
🛠️ Required Skills
- 深度学习 (Deep Learning)
- 大语言模型 (Large Language Models)
- 训练精调与调优 (Model Training, Fine-tuning, and Optimization)
- 部署 (Deployment)
- 智能体Agent开发 (Intelligent Agent Development)
- ETL (Extract, Transform, Load)
- 特征工程 (Feature Engineering)
- 数据流水线构建 (Data Pipeline Building)
- 用户画像 (User Profiling)
- 前沿AI技术研究 (Research in Frontier AI Technologies like LLM, VLM, SFT, DPO, RAG, MCP)
- 算法模型优化 (Algorithm and Model Optimization)
- 服务性能优化 (Service Performance Optimization)
- 团队协作 (Team Collaboration)
Locations
- Shenzhen, China
Salary
250,000 - 500,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- 深度学习 (Deep Learning)intermediate
- 大语言模型 (Large Language Models)intermediate
- 训练精调与调优 (Model Training, Fine-tuning, and Optimization)intermediate
- 部署 (Deployment)intermediate
- 智能体Agent开发 (Intelligent Agent Development)intermediate
- ETL (Extract, Transform, Load)intermediate
- 特征工程 (Feature Engineering)intermediate
- 数据流水线构建 (Data Pipeline Building)intermediate
- 用户画像 (User Profiling)intermediate
- 前沿AI技术研究 (Research in Frontier AI Technologies like LLM, VLM, SFT, DPO, RAG, MCP)intermediate
- 算法模型优化 (Algorithm and Model Optimization)intermediate
- 服务性能优化 (Service Performance Optimization)intermediate
- 团队协作 (Team Collaboration)intermediate
Responsibilities
- 结合游戏平台业务垂直场景，负责深度学习和大语言模型的训练精调、调优及部署，及智能体Agent开发
- 负责大规模平台用户行为数据集的ETL及特征工程，构建高效数据流水线，落地到用户画像体系并服务到线上AI应用
- 跟踪和研究前沿AI技术（如LLM、VLM、SFT、DPO、RAG、MCP等），推动技术落地业务发挥价值
- 与技术团队协作，优化算法模型和服务性能，满足产品AI价值落地要求
Tags & Categories
Answer 10 quick questions to check your fit for WeGame游戏平台-AI算法研究 @ Tencent.
Related Books and Jobs
WeGame游戏平台-AI算法研究
Tencent
WeGame游戏平台-AI算法研究
Job Description
WeGame游戏平台-AI算法研究
📋 Job Overview
The role focuses on AI algorithm research for the WeGame gaming platform, involving the training, fine-tuning, and deployment of deep learning and large language models tailored to gaming scenarios, as well as developing intelligent agents. Responsibilities include building data pipelines from large-scale user behavior datasets for user profiling and AI applications, while tracking cutting-edge AI technologies to drive business value. Collaboration with technical teams is key to optimizing models and services for product integration.
📍 Location: Shenzhen, China
🏢 Business Unit: IEG
📄 Full Description
2.负责大规模平台用户行为数据集的ETL及特征工程，构建高效数据流水线，落地到用户画像体系并服务到线上AI应用；
3.跟踪和研究前沿AI技术（如LLM、VLM、SFT、DPO、RAG、MCP等），推动技术落地业务发挥价值；
4.与技术团队协作，优化算法模型和服务性能，满足产品AI价值落地要求。
🎯 Key Responsibilities
- 结合游戏平台业务垂直场景，负责深度学习和大语言模型的训练精调、调优及部署，及智能体Agent开发
- 负责大规模平台用户行为数据集的ETL及特征工程，构建高效数据流水线，落地到用户画像体系并服务到线上AI应用
- 跟踪和研究前沿AI技术（如LLM、VLM、SFT、DPO、RAG、MCP等），推动技术落地业务发挥价值
- 与技术团队协作，优化算法模型和服务性能，满足产品AI价值落地要求
🛠️ Required Skills
- 深度学习 (Deep Learning)
- 大语言模型 (Large Language Models)
- 训练精调与调优 (Model Training, Fine-tuning, and Optimization)
- 部署 (Deployment)
- 智能体Agent开发 (Intelligent Agent Development)
- ETL (Extract, Transform, Load)
- 特征工程 (Feature Engineering)
- 数据流水线构建 (Data Pipeline Building)
- 用户画像 (User Profiling)
- 前沿AI技术研究 (Research in Frontier AI Technologies like LLM, VLM, SFT, DPO, RAG, MCP)
- 算法模型优化 (Algorithm and Model Optimization)
- 服务性能优化 (Service Performance Optimization)
- 团队协作 (Team Collaboration)
Locations
- Shenzhen, China
Salary
250,000 - 500,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- 深度学习 (Deep Learning)intermediate
- 大语言模型 (Large Language Models)intermediate
- 训练精调与调优 (Model Training, Fine-tuning, and Optimization)intermediate
- 部署 (Deployment)intermediate
- 智能体Agent开发 (Intelligent Agent Development)intermediate
- ETL (Extract, Transform, Load)intermediate
- 特征工程 (Feature Engineering)intermediate
- 数据流水线构建 (Data Pipeline Building)intermediate
- 用户画像 (User Profiling)intermediate
- 前沿AI技术研究 (Research in Frontier AI Technologies like LLM, VLM, SFT, DPO, RAG, MCP)intermediate
- 算法模型优化 (Algorithm and Model Optimization)intermediate
- 服务性能优化 (Service Performance Optimization)intermediate
- 团队协作 (Team Collaboration)intermediate
Responsibilities
- 结合游戏平台业务垂直场景，负责深度学习和大语言模型的训练精调、调优及部署，及智能体Agent开发
- 负责大规模平台用户行为数据集的ETL及特征工程，构建高效数据流水线，落地到用户画像体系并服务到线上AI应用
- 跟踪和研究前沿AI技术（如LLM、VLM、SFT、DPO、RAG、MCP等），推动技术落地业务发挥价值
- 与技术团队协作，优化算法模型和服务性能，满足产品AI价值落地要求
Tags & Categories
Answer 10 quick questions to check your fit for WeGame游戏平台-AI算法研究 @ Tencent.
Related Books and Jobs