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
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, productive 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
Working towards a Master’s or PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related fieldStrong communicator and team player with the ability to find solutions for open-ended problemsMachine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)Experience in research and in solving analytical problemsExperience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data

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📌 Machine Learning Internship 2027 (Ontario)
🏢 Pinterest
📍 Ontario