
// Open Role at Tencent
Join Tencent's Level Infinite as a Research Intern to innovate cutting-edge World Models and Video Diffusion Models for immersive game video generation and virtual world construction.
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.
Focus on cutting-edge algorithm research and development for World Models and Video Diffusion Models, exploring key issues such as video generation and video interaction. As a Generative AI Researcher (Intern), you will participate in one or more of the following tasks:
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.
Enrolled as a PhD or Master’s student in Computer Vision, Computer Graphics, Machine Learning, or a related field. Familiarity with generative models. Strong background in deep learning with practical experience in image or video data processing. Capable of independently handling complex data cleaning tasks and constructing robust data pipelines. Strong interest in applying generative AI to interactive entertainment and virtual world building. Good communication and collaboration skills. Familiarity with mainstream video generation models; hands-on experience in training or fine-tuning these models is highly preferred. Experience publishing relevant research in top-tier AI and computer vision conferences or journals (e.g., CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS) is a strong plus.