游戏AI-深度学习算法研究员
Tencent
游戏AI-深度学习算法研究员
Job Description
游戏AI-深度学习算法研究员
📋 Job Overview
The role involves researching and developing game AI technologies, focusing on deep learning algorithms to enhance intelligent AI bots in terms of human-likeness, controllability, diversity, and generalizability. Responsibilities include applying these AI solutions in Tencent games, tracking requirements, analyzing data post-launch, and iterating optimizations. The position also entails surveying cutting-edge techniques in deep learning and reinforcement learning to improve bot performance, update costs, and deployment efficiency.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2.负责游戏AI在腾讯游戏上的应用落地，包括游戏AI具体需求的跟进、上线后的数据分析及优化迭代；
3.负责深度学习、强化学习等方面前沿技术的调研，不断优化游戏AI在bot表现、更新迭代成本、部署性能等方面的效果。
🎯 Key Responsibilities
- Develop game AI technologies, including optimizations for intelligent AI BOTs in human-likeness, controllability, diversity, and solution generalizability, as well as developing related AI tools.
- Implement game AI applications in Tencent games, including following up on specific AI requirements, post-launch data analysis, and optimization iterations.
- Conduct research on frontier technologies in deep learning and reinforcement learning to continuously optimize game AI effects in bot performance, update iteration costs, and deployment performance.
🛠️ Required Skills
- Deep learning
- Reinforcement learning
- Game AI development
- Data analysis
- Algorithm optimization
Locations
- Shenzhen, China
Salary
300,000 - 800,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Deep learningintermediate
- Reinforcement learningintermediate
- Game AI developmentintermediate
- Data analysisintermediate
- Algorithm optimizationintermediate
Responsibilities
- Develop game AI technologies, including optimizations for intelligent AI BOTs in human-likeness, controllability, diversity, and solution generalizability, as well as developing related AI tools.
- Implement game AI applications in Tencent games, including following up on specific AI requirements, post-launch data analysis, and optimization iterations.
- Conduct research on frontier technologies in deep learning and reinforcement learning to continuously optimize game AI effects in bot performance, update iteration costs, and deployment performance.
Tags & Categories
Answer 10 quick questions to check your fit for 游戏AI-深度学习算法研究员 @ Tencent.
Related Books and Jobs
游戏AI-深度学习算法研究员
Tencent
游戏AI-深度学习算法研究员
Job Description
游戏AI-深度学习算法研究员
📋 Job Overview
The role involves researching and developing game AI technologies, focusing on deep learning algorithms to enhance intelligent AI bots in terms of human-likeness, controllability, diversity, and generalizability. Responsibilities include applying these AI solutions in Tencent games, tracking requirements, analyzing data post-launch, and iterating optimizations. The position also entails surveying cutting-edge techniques in deep learning and reinforcement learning to improve bot performance, update costs, and deployment efficiency.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2.负责游戏AI在腾讯游戏上的应用落地，包括游戏AI具体需求的跟进、上线后的数据分析及优化迭代；
3.负责深度学习、强化学习等方面前沿技术的调研，不断优化游戏AI在bot表现、更新迭代成本、部署性能等方面的效果。
🎯 Key Responsibilities
- Develop game AI technologies, including optimizations for intelligent AI BOTs in human-likeness, controllability, diversity, and solution generalizability, as well as developing related AI tools.
- Implement game AI applications in Tencent games, including following up on specific AI requirements, post-launch data analysis, and optimization iterations.
- Conduct research on frontier technologies in deep learning and reinforcement learning to continuously optimize game AI effects in bot performance, update iteration costs, and deployment performance.
🛠️ Required Skills
- Deep learning
- Reinforcement learning
- Game AI development
- Data analysis
- Algorithm optimization
Locations
- Shenzhen, China
Salary
300,000 - 800,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Deep learningintermediate
- Reinforcement learningintermediate
- Game AI developmentintermediate
- Data analysisintermediate
- Algorithm optimizationintermediate
Responsibilities
- Develop game AI technologies, including optimizations for intelligent AI BOTs in human-likeness, controllability, diversity, and solution generalizability, as well as developing related AI tools.
- Implement game AI applications in Tencent games, including following up on specific AI requirements, post-launch data analysis, and optimization iterations.
- Conduct research on frontier technologies in deep learning and reinforcement learning to continuously optimize game AI effects in bot performance, update iteration costs, and deployment performance.
Tags & Categories
Answer 10 quick questions to check your fit for 游戏AI-深度学习算法研究员 @ Tencent.
Related Books and Jobs