腾讯游戏-游戏AI高级算法研究员-新星引力计划
Tencent
腾讯游戏-游戏AI高级算法研究员-新星引力计划
Job Description
腾讯游戏-游戏AI高级算法研究员-新星引力计划
📋 Job Overview
The role of Senior Game AI Algorithm Researcher at Tencent Games involves researching and developing AI technologies for games, with a focus on reinforcement learning and large language models (LLM). Responsibilities include building LLM-based applications, optimizing models using reinforcement learning, participating in project analysis and design, collaborating with teams to solve technical challenges, tracking AI trends, and documenting technical results. This position is part of the New Star Gravity Plan, aimed at advancing innovative game AI solutions.
📍 Location: Shenzhen, China
🏢 Business Unit: IEG
📄 Full Description
1.协助团队进行游戏AI的研究与开发，包括但不限于强化学习、LLM等技术；
2.能够基于LLM构建应用，并能使用强化学习等手段优化模型性能；
3.參与项目的需求分析、建模设计、开发；
4.与团队成员紧密合作，共同解决项目中的技术难题；
5.跟踪并研究最新的AI技术和趋势，将其应用于游戏Al项目中；
6.编写高质量的技术文档，分享技术成果和知识。
2.能够基于LLM构建应用，并能使用强化学习等手段优化模型性能；
3.參与项目的需求分析、建模设计、开发；
4.与团队成员紧密合作，共同解决项目中的技术难题；
5.跟踪并研究最新的AI技术和趋势，将其应用于游戏Al项目中；
6.编写高质量的技术文档，分享技术成果和知识。
🎯 Key Responsibilities
- Assist the team in researching and developing game AI, including reinforcement learning, LLM, and other technologies
- Build applications based on LLM and optimize model performance using reinforcement learning
- Participate in project demand analysis, modeling design, and development
- Collaborate closely with team members to solve technical challenges in projects
- Track and research the latest AI technologies and trends, applying them to game AI projects
- Write high-quality technical documentation and share technical achievements and knowledge
✅ Required Qualifications
- Experience in AI research and development, particularly in game AI
- Proficiency in building applications based on LLM
- Ability to optimize model performance using reinforcement learning and similar techniques
- Background in project demand analysis, modeling design, and development
⭐ Preferred Qualifications
- Strong collaboration skills for working closely with team members
- Capability to track and research the latest AI technologies and trends
- Experience in writing high-quality technical documentation and sharing knowledge
🛠️ Required Skills
- Reinforcement learning
- Large Language Models (LLM)
- AI model optimization
- Project analysis and modeling design
- Technical problem-solving
- Team collaboration
- Technical documentation and knowledge sharing
Locations
- Shenzhen, China
Salary
Estimated Salary Rangemedium confidence
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
- Reinforcement learningintermediate
- Large Language Models (LLM)intermediate
- AI model optimizationintermediate
- Project analysis and modeling designintermediate
- Technical problem-solvingintermediate
- Team collaborationintermediate
- Technical documentation and knowledge sharingintermediate
Required Qualifications
- Experience in AI research and development, particularly in game AI (experience)
- Proficiency in building applications based on LLM (experience)
- Ability to optimize model performance using reinforcement learning and similar techniques (experience)
- Background in project demand analysis, modeling design, and development (experience)
Preferred Qualifications
- Strong collaboration skills for working closely with team members (experience)
- Capability to track and research the latest AI technologies and trends (experience)
- Experience in writing high-quality technical documentation and sharing knowledge (experience)
Responsibilities
- Assist the team in researching and developing game AI, including reinforcement learning, LLM, and other technologies
- Build applications based on LLM and optimize model performance using reinforcement learning
- Participate in project demand analysis, modeling design, and development
- Collaborate closely with team members to solve technical challenges in projects
- Track and research the latest AI technologies and trends, applying them to game AI projects
- Write high-quality technical documentation and share technical achievements and knowledge
Tags & Categories
腾讯游戏-游戏AI高级算法研究员-新星引力计划
Tencent
腾讯游戏-游戏AI高级算法研究员-新星引力计划
Job Description
腾讯游戏-游戏AI高级算法研究员-新星引力计划
📋 Job Overview
The role of Senior Game AI Algorithm Researcher at Tencent Games involves researching and developing AI technologies for games, with a focus on reinforcement learning and large language models (LLM). Responsibilities include building LLM-based applications, optimizing models using reinforcement learning, participating in project analysis and design, collaborating with teams to solve technical challenges, tracking AI trends, and documenting technical results. This position is part of the New Star Gravity Plan, aimed at advancing innovative game AI solutions.
📍 Location: Shenzhen, China
🏢 Business Unit: IEG
📄 Full Description
1.协助团队进行游戏AI的研究与开发，包括但不限于强化学习、LLM等技术；
2.能够基于LLM构建应用，并能使用强化学习等手段优化模型性能；
3.參与项目的需求分析、建模设计、开发；
4.与团队成员紧密合作，共同解决项目中的技术难题；
5.跟踪并研究最新的AI技术和趋势，将其应用于游戏Al项目中；
6.编写高质量的技术文档，分享技术成果和知识。
2.能够基于LLM构建应用，并能使用强化学习等手段优化模型性能；
3.參与项目的需求分析、建模设计、开发；
4.与团队成员紧密合作，共同解决项目中的技术难题；
5.跟踪并研究最新的AI技术和趋势，将其应用于游戏Al项目中；
6.编写高质量的技术文档，分享技术成果和知识。
🎯 Key Responsibilities
- Assist the team in researching and developing game AI, including reinforcement learning, LLM, and other technologies
- Build applications based on LLM and optimize model performance using reinforcement learning
- Participate in project demand analysis, modeling design, and development
- Collaborate closely with team members to solve technical challenges in projects
- Track and research the latest AI technologies and trends, applying them to game AI projects
- Write high-quality technical documentation and share technical achievements and knowledge
✅ Required Qualifications
- Experience in AI research and development, particularly in game AI
- Proficiency in building applications based on LLM
- Ability to optimize model performance using reinforcement learning and similar techniques
- Background in project demand analysis, modeling design, and development
⭐ Preferred Qualifications
- Strong collaboration skills for working closely with team members
- Capability to track and research the latest AI technologies and trends
- Experience in writing high-quality technical documentation and sharing knowledge
🛠️ Required Skills
- Reinforcement learning
- Large Language Models (LLM)
- AI model optimization
- Project analysis and modeling design
- Technical problem-solving
- Team collaboration
- Technical documentation and knowledge sharing
Locations
- Shenzhen, China
Salary
Estimated Salary Rangemedium confidence
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
- Reinforcement learningintermediate
- Large Language Models (LLM)intermediate
- AI model optimizationintermediate
- Project analysis and modeling designintermediate
- Technical problem-solvingintermediate
- Team collaborationintermediate
- Technical documentation and knowledge sharingintermediate
Required Qualifications
- Experience in AI research and development, particularly in game AI (experience)
- Proficiency in building applications based on LLM (experience)
- Ability to optimize model performance using reinforcement learning and similar techniques (experience)
- Background in project demand analysis, modeling design, and development (experience)
Preferred Qualifications
- Strong collaboration skills for working closely with team members (experience)
- Capability to track and research the latest AI technologies and trends (experience)
- Experience in writing high-quality technical documentation and sharing knowledge (experience)
Responsibilities
- Assist the team in researching and developing game AI, including reinforcement learning, LLM, and other technologies
- Build applications based on LLM and optimize model performance using reinforcement learning
- Participate in project demand analysis, modeling design, and development
- Collaborate closely with team members to solve technical challenges in projects
- Track and research the latest AI technologies and trends, applying them to game AI projects
- Write high-quality technical documentation and share technical achievements and knowledge
Tags & Categories