Explore generative AI and neural rendering as a Deep Learning Research Intern with Qualcomm Canada ULC. Develop image and video applications using Python and PyTorch.

This internship focuses on research for neural rendering, interactive rendering, and world modeling within computer graphics. You will investigate generative AI techniques, contemporary deep learning architectures, optimization, and training methodologies. The work includes implementing recent literature and evaluating visual quality, temporal consistency, controllability, and real-time performance.

Key Responsibilities:

- Research generative AI techniques for neural rendering applications
- Investigate image, video, neural, and interactive rendering
- Develop data generation, training, and evaluation pipelines




- Conduct benchmarking, experiments, and ablation studies
- Collaborate with researchers and engineers on rendering technologies

Requirements:

- Developing deep learning models for image and video applications
- Strong foundation in deep learning fundamentals
- Experience with Python and PyTorch
- Studying toward a bachelor’s, master’s, or PhD degree
- One or more years programming with C, C++, or Python

Apply deep learning, Python, and PyTorch research skills to advance Qualcomm’s neural rendering and generative graphics work.

📌 Deep Learning Research Intern (Markham)
🏢 Qualcomm
📍 Markham