FY27 Intern - Deep Learning Research Internship - Canada (4 Months)
Core
Research and develop novel generative AI techniques for neural rendering, interactive neural rendering, and world modeling to improve visual quality, temporal consistency, and real-time rendering performance.
Role type
Research intern (deep learning & computer graphics)
Builds
Research outputs (publications at leading conferences), experimental evaluations, and scalable data/training pipelines for generative graphics systems
Domain
Computer graphics, generative AI, neural rendering
Deliverable
research
Required skills
Deep learning fundamentals, Python, PyTorch, image/video generation, neural rendering, generative AI, 3D reconstruction
Preferred skills
Neural rendering, generative AI, computer graphics, 3D reconstruction
Responsibilities
Research and develop novel generative AI techniques for neural rendering and computer graphics applications; Investigate image and video generation, neural rendering, or interactive rendering; Explore efficient approaches to improve rendering quality, temporal consistency, controllability, and real-time performance; Implement and evaluate state-of-the-art methods from recent literature; Design and conduct benchmarking, experimental evaluations, and ablation studies; Develop scalable data generation, training, and evaluation pipelines for generative graphics systems; Collaborate with researchers and engineers to advance next-generation AI-powered rendering technologies
