Machine Learning Intern 2027 (Toronto) at Pinterest

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.

As a Machine Learning Intern at Pinterest, you’ll apply machine learning and AI to product and engineering challenges. You’ll work with engineering, product and data teams to prototype, evaluate and improve ML-powered features and discovery experiences. Throughout your internship, you’ll contribute to real projects, learn how large-scale ML systems are developed and build practical skills with guidance from experienced engineers.

What you’ll do:

Own a scoped machine learning project from problem definition through experimentation, implementation and communication of results, with guidance from your manager and team
Contribute to applied machine learning and AI research that informs Pinterest product experiences
Collect, analyze and synthesize data to develop data-driven machine learning models
Write clean, efficient and maintainable code, supported by appropriate documentation and testing
Apply relevant machine learning techniques, including natural language processing or graph-based approaches, to modeling and ranking problems across discovery, ads and search
Break down scoped technical problems, propose approaches and implement solutions with guidance from the team
Deliver assigned project milestones, share progress and findings with teammates and seek guidance when needed
Experience applying machine learning or AI concepts through research, coursework, projects or internships.
Use AI to accelerate analysis and iteration while applying judgment and verification to ensure correctness and quality.

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
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

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

In-Office Requirement Statement:

This onsite internship will be based in our Toronto office requiring a few days in office. Our program will run in a full-time capacity during typical business hours between Monday-Friday.
This role will need to be in the office for in-person collaboration 2-3 weekdays per week and therefore needs to be within a commutable distance of 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 minimum and maximum salary for this position is CA$8000 - CA$8600 monthly.

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

Canada based applicants only

$8,000—$8,600 CAD

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.

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.