About this role

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.

AI Video Research Engineer Intern

Key skills