Staff Machine Learning Engineer, Ads Conversion

Pinterest is a platform that inspires creativity and innovation. They are seeking a Staff Machine Learning Engineer to lead the technical vision for the Ads Advanced Conversion Modeling team, focusing on building state-of-the-art systems for their global marketplace.

Responsibilities:

• Lead the technical direction and development of state-of-the-art applied ML projects for ads conversion
• Design and build large-scale DNN models to improve user action prediction with low latency
• Mine text, visual, and user signals to better understand intention and infer interests from online activity
• Use AI to accelerate analysis and iteration, while applying judgment and verification to ensure correctness and quality
• Automate repeatable tasks such as documentation, reporting, and QA checks to speed up the development lifecycle
• Coach and mentor engineers while collaborating with product and sales to design new ad products

Requirements:

• Degree in Computer Science, Statistics, or a related field
• 6+ years of industry experience building production ML systems at scale (Search, Recommendations, or Ranking)
• 2+ years of experience leading technical projects or teams
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final deliverables
• Strong mathematical foundation and experience with statistical methods and A/B testing