Senior Machine Learning Engineer (Content Shopping)

Join Pinterest as a Senior Machine Learning Engineer in Toronto. You will be part of the Content Shopping Mining ML team, which focuses on building machine learning systems that understand shopping-related content across the web. Your work will help improve product experiences on Pinterest, including content quality, distribution, recommendations, and search. You should have at least 5 years of industry experience in applying machine learning to real-world problems, a strong problem-solving ability, and a passion for applied machine learning.

• Conception, development, and deployment of machine learning systems that understand shopping-related content.
• Improvement of product experiences on Pinterest, including content quality, distribution, recommendations, and search.
• Collaboration with cross-functional teams to drive ambiguous projects forward and ensure successful implementation of machine learning solutions.
• Hands-on experience training, evaluating, and deploying language models in production environments
• Experience with web crawling, web scraping, search, recommendation systems, or content understanding pipelines
• Experience or strong interest in web crawling, web scraping, and large-scale content acquisition
• 5+ years of industry experience applying machine learning to real-world problems, such as search, ranking, recommender systems, natural language processing, personalization, reinforcement learning, or graph representation learning
• M.S. or Ph.D. in Machine Learning, Computer Science, or a related technical field
• Strong problem-solving skills, with the ability to work autonomously, think creatively, and drive ambiguous projects forward
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
• Passion for applied machine learning and for building products that improve the Pinterest experience
• Publications in top-tier machine learning conferences
• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring