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 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:
•Data Processing: Assist with the cleaning, filtering, annotation, and preprocessing pipelines for large-scale video/image data to build high-quality training datasets.
•Model Training: Help build highly efficient training frameworks for diffusion models, optimize training workflows, and take responsibility for managing, monitoring, and fine-tuning model training tasks.
•Technical Innovation: Deeply participate in technical project discussions, proactively propose innovative ideas or improvement plans, and actively drive the practical application and integration of research findings into game video generation and virtual world construction scenarios.
•Frontier Exploration: Collaborate closely with senior researchers to explore cutting-edge directions in the fields of digital content generation and interactive agents.
Who We Look For
•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.
•Model Expertise: Familiarity with mainstream video generation models; hands-on experience in training or fine-tuning these models is highly preferred.
•Academic Record: 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.
