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.

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.

Note to applicants: By applying to this role, you will be considered for multiple intern role openings across our various ML teams. Please submit only one application for the term you’re available to intern. Multiple applications may delay the process.

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.
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.

This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.

This onsite internship will be based in our Toronto office requiring a few days in office. Our program will run from May 4, 2026 - August 21, 2026 in a full-time capacity during typical business hours between Monday-Friday In-Office

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration [2-3 weekdays per week] and therefore needs to be in a commutable distance from one of the following offices [Toronto].

Relocation Statement:

This position may be eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
Information regarding the culture at Pinterest and benefits available for this position can be found here.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Canada based applicants only

The salary for this position is $6,000 - $9,500 CAD monthly.

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Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

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

Job Description