Machine Learning Intern Fall 2026 (Toronto)

Working towards a

Master's or PhD degree

in Computer Science, ML, NLP, Statistics, Information Sciences or related field

Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)

Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data

Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)

Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems

Collect, analyze, and synthesize findings from data and build intelligent data-driven models

Write clean, efficient, and sustainable code

Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search

Scope and independently solve moderately complex problems

Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed