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.