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Internship

Machine Learning Intern Fall 2026 (Toronto)

Confirmed live in the last 24 hours

Pinterest

Pinterest

Toronto, ON, CA
Hybrid
Posted March 27, 2026

Job Description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.


Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once as multiple applications may delay our recruitment process.

As a Machine Learning Intern at Pinterest, you’ll work on tackling new challenges in machine learning and artificial intelligence. Throughout your internship, you’ll join our engineering teams as we maneuver through exponential growth and massive scale while building awesome products and features, creating visually rich experiences, spearheading the discovery problem, and pinpointing tomorrow’s engineering challenges. 


What you’ll do:

  • 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


What we are looking for:

  • 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
  • Strong interest in research and applying machine learning and AI to drive meaningful product innovation and user impact
  • Exposure to ML, AI, data analytics, statistics, or related technical fields, through research, coursework, projects, or internships
  • 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

Why Intern at Pinterest?

  • Meaningful Work: Contribute to projects that impact millions of users worldwide.
  • Ment
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