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WeGame游戏平台-AI算法研究

Tencent

Software and Technology Jobs

WeGame游戏平台-AI算法研究

full-timePosted: Nov 16, 2025

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

1.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;
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

Estimated Salary Rangemedium confidence

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

Target Your Resume for "WeGame游戏平台-AI算法研究" , Tencent

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Tencent logo

WeGame游戏平台-AI算法研究

Tencent

Software and Technology Jobs

WeGame游戏平台-AI算法研究

full-timePosted: Nov 16, 2025

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

1.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;
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

Estimated Salary Rangemedium confidence

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

Target Your Resume for "WeGame游戏平台-AI算法研究" , Tencent

Get personalized recommendations to optimize your resume specifically for WeGame游戏平台-AI算法研究. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "WeGame游戏平台-AI算法研究" , Tencent

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

TencentShenzhenChinaIEGIEG

Answer 10 quick questions to check your fit for WeGame游戏平台-AI算法研究 @ Tencent.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.