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游戏AI-强化学习算法研究员

Tencent

游戏AI-强化学习算法研究员

Tencent logo

Tencent

full-time

Posted: December 9, 2025

Number of Vacancies: 1

Job Description

游戏AI-强化学习算法研究员

📋 Job Overview

The role involves participating in Tencent's game AI algorithm research and application, focusing on reinforcement learning, imitation learning, meta-learning, and other techniques tailored to game scenarios to provide technical solutions. Responsibilities include optimizing reinforcement learning algorithms for better efficiency and effectiveness in game environments, as well as exploring cutting-edge technologies to advance their integration into business applications. This position is ideal for researchers passionate about advancing AI in gaming.

📍 Location: Shenzhen, China

🏢 Business Unit: TEG

📄 Full Description

1.参与腾讯游戏AI的算法研究和应用,包括但不限于强化学习、模仿学习、元学习等,结合游戏场景,提供技术解决方案;
2.强化学习算法应用效果优化,提高强化学习效率和效果,结合游戏场景进行应用;
3.前沿技术的探索,推进强化学习技术在业务场景的应用。

🎯 Key Responsibilities

  • Participate in Tencent game AI algorithm research and application, including but not limited to reinforcement learning, imitation learning, meta-learning, etc., combined with game scenarios to provide technical solutions
  • Optimize reinforcement learning algorithm application effects, improve reinforcement learning efficiency and effectiveness, and apply in combination with game scenarios
  • Explore frontier technologies and promote the application of reinforcement learning technology in business scenarios

Locations

  • Shenzhen, China

Salary

Estimated Salary Rangemedium confidence

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.

Responsibilities

  • Participate in Tencent game AI algorithm research and application, including but not limited to reinforcement learning, imitation learning, meta-learning, etc., combined with game scenarios to provide technical solutions
  • Optimize reinforcement learning algorithm application effects, improve reinforcement learning efficiency and effectiveness, and apply in combination with game scenarios
  • Explore frontier technologies and promote the application of reinforcement learning technology in business scenarios

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Tencent logo

游戏AI-强化学习算法研究员

Tencent

游戏AI-强化学习算法研究员

Tencent logo

Tencent

full-time

Posted: December 9, 2025

Number of Vacancies: 1

Job Description

游戏AI-强化学习算法研究员

📋 Job Overview

The role involves participating in Tencent's game AI algorithm research and application, focusing on reinforcement learning, imitation learning, meta-learning, and other techniques tailored to game scenarios to provide technical solutions. Responsibilities include optimizing reinforcement learning algorithms for better efficiency and effectiveness in game environments, as well as exploring cutting-edge technologies to advance their integration into business applications. This position is ideal for researchers passionate about advancing AI in gaming.

📍 Location: Shenzhen, China

🏢 Business Unit: TEG

📄 Full Description

1.参与腾讯游戏AI的算法研究和应用,包括但不限于强化学习、模仿学习、元学习等,结合游戏场景,提供技术解决方案;
2.强化学习算法应用效果优化,提高强化学习效率和效果,结合游戏场景进行应用;
3.前沿技术的探索,推进强化学习技术在业务场景的应用。

🎯 Key Responsibilities

  • Participate in Tencent game AI algorithm research and application, including but not limited to reinforcement learning, imitation learning, meta-learning, etc., combined with game scenarios to provide technical solutions
  • Optimize reinforcement learning algorithm application effects, improve reinforcement learning efficiency and effectiveness, and apply in combination with game scenarios
  • Explore frontier technologies and promote the application of reinforcement learning technology in business scenarios

Locations

  • Shenzhen, China

Salary

Estimated Salary Rangemedium confidence

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.

Responsibilities

  • Participate in Tencent game AI algorithm research and application, including but not limited to reinforcement learning, imitation learning, meta-learning, etc., combined with game scenarios to provide technical solutions
  • Optimize reinforcement learning algorithm application effects, improve reinforcement learning efficiency and effectiveness, and apply in combination with game scenarios
  • Explore frontier technologies and promote the application of reinforcement learning technology in business scenarios

Target Your Resume for "游戏AI-强化学习算法研究员" , Tencent

Get personalized recommendations to optimize your resume specifically for 游戏AI-强化学习算法研究员. Takes only 15 seconds!

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

Check Your ATS Score for "游戏AI-强化学习算法研究员" , 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

TencentShenzhenChinaTEGTEG

Related Jobs You May Like

No related jobs found at the moment.