Machine Learning Fellow - Human Frontier Collective (Canada)

The Human Frontier Collective Fellowship brings together top researchers and domain experts to collaborate on high-impact work that shape the future of AI.

Requirements

• Advanced degree (PhD or higher) in Computer Science, Electrical/Computer Engineering, Applied Math, AI/ML, or a related field.
• Hands-on experience building and fine-tuning deep learning models in PyTorch, including architectures like Transformers, CNNs, and diffusion models.
• Familiarity with GPU performance and optimization, including memory management, CUDA kernels, and profiling tools.
• Skilled at analyzing research-level model code and giving clear, actionable feedback.
• Able to clearly explain complex ML behaviors and trade-offs.

Benefits

• Flexible Schedule
• Competitive Pay