AI Video Research Engineer Intern

Join Tether and shape the future of digital finance by contributing to the development and improvement of open-source video foundation models. Work on video generation and multimodal video foundation models with a focus on one or more components of the foundation model lifecycle. Opportunities to publish at top-tier computer vision and machine learning conferences and work with petabyte-scale video datasets and large distributed GPU clusters with thousands of GPUs.

Requirements

• 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

Benefits

• Flexible working hours
• Opportunities to publish at top-tier computer vision and machine learning conferences
• Work with petabyte-scale video datasets and large distributed GPU clusters with thousands of GPUs