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Game AI Research Leader - Singapore

NetEase Games

Singapore

On-site

SGD 125,000 - 150,000

Full time

30+ days ago

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Job summary

An established industry player is seeking a passionate leader to head a research team in Singapore, dedicated to pioneering advancements in game AI. This role involves conducting innovative research to enhance game content production and user experience while developing technical strategies for implementation. The ideal candidate will have a strong background in machine learning, particularly in reinforcement learning, and possess exceptional coding skills. Join a dynamic team where your contributions will shape the future of gaming technology and provide an exciting opportunity to explore and innovate in a vibrant industry.

Qualifications

  • Ph.D. in AI, Machine Learning, or Computer Science required.
  • Strong coding and engineering skills with hands-on experience.

Responsibilities

  • Lead a research team in game AI focusing on innovative technologies.
  • Develop strategies for implementing research findings in game development.

Skills

Machine Learning
Reinforcement Learning
Coding Skills
Team Management
English Communication

Education

Ph.D. in AI
Ph.D. in Machine Learning
Ph.D. in Computer Science

Job description

Establish and lead a research team in Singapore, focusing on cutting-edge research in game AI.

Conduct and convert forward-looking AI technology research related to game content production and user experience.

Develop technical strategies to drive the implementation of research findings in game development.

Lead the team to produce high-quality academic results, top-tier conference papers, and game application demos.

Oversee team building, talent development, and cross-departmental collaboration.

Job Requirements:

We hope that you have:

  1. Passion for the gaming industry, with a strong background as an experienced gamer.
  2. Ph.D. in AI, Machine Learning, Computer Science, or related fields.
  3. Solid foundation in machine learning, with expertise in reinforcement learning and agent technologies.
  4. Exceptional coding and engineering skills, with a hands-on approach.
  5. A commitment to excellence and a spirit of innovation and exploration.
  6. Strong English communication skills and team management capabilities.
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