Master's Machine Learning Internship Winter Term 2026 (Toronto)

This internship will be based in Toronto, running from January 12, 2026 - April 24, 2026.

Responsibilities:

• Lead your own project start to finish in machine learning and AI.
• Collect, analyze, and synthesize findings from data.
• Write clean, efficient, and sustainable code.
• Use machine learning, natural language processing, and graph analysis.
• Scope and solve moderately complex problems.

Requirements:

• Working towards a Master's degree in Computer Science, ML, NLP, Statistics, or related field.
• Experience with big data technologies (e.g., Hadoop/Spark).
• Proficiency in a systems language (Java, C++, Python) or ML framework (Tensorflow, Pytorch).
• Strong communication and teamwork skills.