AI Video Research Engineer Intern

We are seeking highly motivated MSc or PhD interns to work on video generation and multimodal video foundation models. Interns will focus on one or more components of the foundation model lifecycle and are encouraged to propose creative, research-driven ideas that advance the state of the art.

Research and improve open-source video and multimodal video generation foundation models Focus on one or more areas such as pre-training, supervised fine-tuning, post-training, inference, architecture design, or evaluation Benchmark models against current state-of-the-art, identify bottlenecks, and propose novel improvements Work with large-scale video datasets and distributed training systems Collaborate with researchers and engineers on projects with clear research and publication potential

MSc or PhD candidate in Computer Science, Machine Learning, Computer Vision, or a related technical field Research topic or experience in image generation, video generation, or multimodal learning Awareness of open-source video foundation models and their current limitations Proficiency with PyTorch and modern deep learning workflows Strong analytical thinking, creativity, and collaboration skills Prior first-author related publications in CVPR, ICCV, ECCV, NeurIPS, or ICLR Demonstrated related work, such as research codebase or benchmarks released on GitHub or similar platforms Experience with large-scale or distributed training Hands-on experience with diffusion-based, transformer-based, or hybrid video generation models