Intern - Generative AI Engineer, Image/video Restoration

Intern - Generative Ai Engineer, Image/Video Restoration

We are seeking a talented Generative AI Research Intern to join our team and contribute to cutting-edge research in image and video enhancement and editing. This internship offers the opportunity to explore advanced diffusion and transformer-based models, working with experienced researchers and engineers on next-generation generative AI for visual computing.

Description

You will:

• Conduct research on generative AI methods for image and video enhancement, restoration, and editing.
• Implement and experiment with state-of-the-art diffusion and transformer-based models.
• Evaluate model performance using both objective metrics (e.g., PSNR, SSIM, LPIPS) and perceptual quality assessments.
• Collaborate with the research team to analyze results, propose improvements, and contribute to internal publications or open-source projects.
• Stay current with the latest advances in computer vision and generative modeling, and share insights with the team.

Minimum Qualifications

Currently pursuing a Master's or Ph.D. degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field. Strong background in computer vision and deep learning, with research experience in generative models (e.g., diffusion, transformer architectures) applied to image and video enhancement tasks such as denoising, deblurring, super-resolution, or related areas. Proficiency in Python and deep learning frameworks (PyTorch preferred). Familiarity with image/video quality metrics (PSNR, SSIM, LPIPS) and perceptual evaluation. Understanding of video preprocessing techniques such as motion estimation, optical flow, or temporal alignment.

Preferred Qualifications

Publications in top-tier conferences or journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, TPAMI, TIP etc.) Experience with real-world image and video data (e.g., HDR, raw domain, ISP pipelines). Familiarity with cloud-based data processing or distributed training environments. Passion for exploring generative AI and its applications in image/video understanding and enhancement.

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.