Generative AI Engineer, Image/Video Restoration

Job description

We are seeking a highly skilled Generative AI Engineer to join our team and drive innovation in image and video restoration. You will work on state-of-the-art algorithms for deblurring, denoising, super-resolution, and related tasks, leveraging generative models such as diffusion models, GANs, and transformers. This role requires both strong research ability and practical engineering skills to develop scalable solutions for real-world applications. - Research, design, and implement generative AI models for image and video restoration (e.g., deblurring, denoising, super-resolution, inpainting, frame interpolation). - Build and optimize training pipelines for large-scale datasets, including preprocessing, augmentation, and distributed training. - Evaluate restoration performance using both objective metrics (PSNR, SSIM, LPIPS) and subjective/perceptual quality measures. - Develop scalable and efficient inference pipelines, optimizing for latency, throughput, and memory. - Stay current with the latest research in computer vision and generative AI, and translate novel ideas into practical solutions. - Collaborate with cross-functional teams to integrate restoration models into production systems. h3 Minimum Qualifications /h3 Education: Master’s or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related field. Strong background in computer vision and deep learning, with proven experience in generative models (diffusion, GANs, transformers). Proficiency in Python and deep learning frameworks…