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  4. Generative AI Research Internship 2027
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Quick overviewShowHide

What it is

  • You'll research and build generative AI models for games, like image/video and 3D generation.
  • You'll prototype multimodal understanding and generation algorithms, then help test and deploy them with the team.

Who it's for

  • Currently studying for a Master’s degree or above in Image Processing, Computer Vision, Machine Learning, AI or a related field.
  • Proficient in computer vision, machine learning and deep learning, plus image/video generation methods (e.g. GAN, Stable Diffusion, ControlNet, LoRA, DreamFusion).
  • Strong fit if you also know 3D vision/3D generation (e.g. motion capture, lip-sync generation, 3D scene understanding/generation); papers or competition results are preferred.

This overview was generated using AI

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

  1. Responsible for researching and developing advanced algorithms and technologies related to multimodal understanding, image and video generation, and 3D generation.
  2. Research cutting-edge large model and Generative AI technologies, exploring their potential applications in game development scenarios.
  3. Collaborate closely with team members to complete project development, testing, and deployment.

Who we look for

  1. Master’s degree or above in Image Processing/Computer Vision/Machine Learning/Artificial Intelligence or related fields.
  2. Proficient in computer vision, machine learning, and deep learning algorithms.
  3. Proficient in image or video generation algorithms, familiar with generative models such as GAN, Stable Diffusion, ControlNet, LoRA, and DreamFusio.
  4. Proficient in 3D vision algorithms or 3D generation-related algorithms, such as monocular motion capture, lip sync generation, and 3D scene understanding and generation.
  5. Strong programming skills, familiar with data structures and algorithms.
  6. Strong analytical modeling, problem-solving abilities, good business understanding, teamwork, and communication skills, and excellent self-motivation.
  7. Preference will be given to candidates with relevant top conference/journal papers or those who have achieved good results in related competitions.
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