Generative AI Research Intern
Description
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.
Responsibilities
- Responsible for researching and developing advanced algorithms and technologies related to multimodal understanding, image and video generation, and 3D generation.
- Design and optimize algorithm models for advertising business applications to improve the accuracy and efficiency of algorithms.
- Research cutting-edge large model and Generative AI technologies, exploring their potential applications in game development scenarios.
- Collaborate closely with team members to complete project development, testing, and deployment.
Requirements
- Master's degree or above in Image Processing/Computer Vision/Machine Learning/Artificial Intelligence or related fields.
- Proficient in computer vision, machine learning, and deep learning algorithms.
- Proficient in image or video generation algorithms, familiar with generative models such as GAN, Stable Diffusion, ControlNet, LoRA, and DreamFusio.
- Proficient in 3D vision algorithms or 3D generation-related algorithms, such as monocular motion capture, lip sync generation, and 3D scene understanding and generation.
- Strong programming skills, familiar with data structures and algorithms.
- Strong analytical modeling, problem-solving abilities, good business understanding, teamwork, and communication skills, and excellent self-motivation.
- Preference will be given to candidates with relevant top conference/journal papers or those who have achieved good results in related competitions.
