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Salary
≈ $24k – $45k per year (Estimated)
Location
In office (Singapore)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Sep 30, 2026. First seen by Alion on Sep 29, 2026. Tencent scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Tencent is a Chinese technology conglomerate founded in Shenzhen in 1998 and one of the largest internet companies in the world by revenue. Its WeChat super-app combines messaging, social feeds, payments, mini-programs and official accounts into the default digital layer of Chinese daily life, with well over a billion monthly users. The group is also the biggest video game company on the planet through domestic publishing and stakes in Riot, Supercell and Epic Games, and runs Tencent Cloud, Tencent Music, a large fintech business and the Hunyuan family of foundation models.

About the Hiring Team

Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world.

We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.

What the Role Entails

Focus on cutting-edge algorithm research and development in AI Coding Agents, fully automated game generation, and game world models, exploring key issues such as code generation, intelligent debugging, gameplay, and level generation. As a Coding Agent Researcher (Intern), you will participate in one or more of the following tasks:

  • Develop LLM-based game coding agents to enable automatic code generation, game logic development, error diagnosis, automatic debugging, and iterative optimization.
  • Explore the use of AI to fully automate the generation of game demos, core gameplay, levels, and other procedural game content. Track cutting-edge directions such as Coding Agents, code large language models, and world models, and conduct algorithm experiments, paper reproduction, and technological innovation.
  • Drive the practical application of research outcomes in game development and interactive entertainment scenarios, and produce high-quality technical reports, papers, or patents.
  • Collaborate closely with senior researchers and game development teams to jointly explore AI-driven game development and virtual world construction technologies.

Who We Look For

  • Currently enrolled in a Master’s, or PhD program in Computer Science, Artificial Intelligence, Software Engineering, Machine Learning, or a related field.
  • Familiar with Python, with solid programming skills and a strong foundation in deep learning; understand the basic principles of large language models and intelligent agents.
  • Capable of independently conducting experiments, debugging code, and optimizing models, and able to complete the full workflow from solution design to experimental validation.
  • Strong interest in game development, procedural content generation, and the application of generative AI in interactive entertainment. Good communication, collaboration, and technical presentation skills.

Preferred Qualifications

  • Familiarity with Unity, Unreal Engine, or other game engines; experience in developing Coding Agents, code large language models, tool use, or multi-agent systems is preferred.
  • Experience publishing relevant papers at top-tier conferences or journals such as CVPR, ICCV, ECCV, ICLR, ICML, and NeurIPS is preferred.

Equal Employment Opportunity at Tencent

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

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