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

Pinterest is a platform that inspires creativity and helps users plan memorable experiences. They are seeking a Machine Learning Intern to tackle challenges in machine learning and artificial intelligence, contributing to large-scale recommendation systems and building intelligent data-driven models. Responsibilities 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 Skills Working towards a Master's 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) Experience in research and in solving analytical problems Strong communicator and team player with the ability to find solutions for open-ended problems Benefits Relocation assistance Mentorship: Learn from and be guided by experienced engineers and researchers in the field. Growth and Development: Participate in professional development workshops and networking events to build your skills and connections. Company Overview Pinterest is a visual bookmarking tool for saving and discovering creative ideas. It was founded in 2010, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is