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.

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