FY27 Intern - Deep Learning Research Internship - Embodied AI - Canada (4 Months)
Core
Research intern advancing deep learning methods for Embodied AI, focusing on manipulation, loco-manipulation on humanoid robots, learning-from-human-videos, and reinforcement learning.
Role type
Research intern (Embodied AI / Deep Learning)
Builds
Deep learning models for robotics and multimodal learning tasks
Domain
Robotics, Artificial Intelligence, Deep Learning
Deliverable
production ML models
Required skills
Deep learning, Machine learning, Robotics, Python, PyTorch
Preferred skills
Large vision-language models (VLMs), Vision-language-action models (VLAs), Robotics simulators, Reinforcement learning, Imitation learning
Technologies
Python, PyTorch
Responsibilities
Contribute to research and development of deep learning models for Embodied AI tasks; Implement and evaluate algorithms using Python and PyTorch; Collaborate with researchers and engineers to explore novel approaches in robotics and multimodal learning.
Seniority
Intern
