FY27 Intern - Deep Learning Research Internship - Canada (4 Months)
Core
Develop, prototype, and implement new fundamental and impactful methods in deep learning research areas such as sequential reasoning, generalization, interaction models, and embodied AI.
Role type
Deep Learning Research Intern
Builds
Research prototypes and methods for AI, computing, and connectivity
Domain
Artificial Intelligence / Deep Learning / Robotics
Deliverable
research
Required skills
Deep learning fundamentals, Python, PyTorch, model development for text/image/video, optimization, training methodologies
Preferred skills
Publications at academic conferences (NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV)
Responsibilities
Develop and prototype new deep learning methods; Investigate neural architectures for sequential and multimodal reasoning; Study architectural inductive biases for generalization; Research efficient video models and visual question answering; Research manipulation and reinforcement learning for humanoid robots
