The role focuses on building machine learning systems that enhance shopping-related content on Pinterest. The Content Shopping Mining ML team is dedicated to transforming unstructured merchant pages into structured product data, improving user experiences through better content quality and search relevance. Candidates will work with large-scale datasets and collaborate with cross-functional teams to drive innovation. This position requires a strong background in machine learning and a passion for applied technology.

• 5+ years of industry experience applying machine learning to real-world problems.
• Hands-on experience training, evaluating, and deploying language models in production environments.
• Strong problem-solving skills with the ability to work autonomously and think creatively.
• Experience or strong interest in web crawling, web scraping, and large-scale content acquisition.

• Identify and evaluate high-value content sources for Pinterest.
• Help build scalable systems to acquire content and extract structured attributes.
• Partner closely with cross-functional teams to improve content quality and user experiences.
• Train, fine-tune, and distill language models for better webpage understanding.
• Design and build systems for managing large-scale datasets and improving data quality.
• Use modern coding tools to accelerate development and operational efficiency.