Research Scientist Intern - Video Generation

As a Video Generation Research Intern, you will work closely with our research and engineering teams to advance post-training techniques for large-scale video generation…

You will explore cutting-edge generative modeling techniques and contribute to the development of next-generation AI-powered content creation and interactive virtual world experiences.

Research, develop, and implement post-training methods for video generation models, including supervised fine-tuning, preference optimization, and reinforcement learning-based approaches.

Explore controllable video generation techniques to improve motion control, camera movement, trajectory following, and action-conditioned generation.

Currently pursuing a Master's or PhD degree in Computer Science, Artificial Intelligence, Computer Vision, Machine Learning, or a related technical field.

Strong research background and hands-on experience in video generation, including training or fine-tuning video generative models.

Solid understanding of modern generative modeling techniques, such as diffusion models, flow matching, Diffusion Transformers (DiTs), and autoregressive models.

Strong proficiency in Python and deep learning frameworks such as PyTorch.