Principal Machine Learning Engineer, Growth

Pinterest is a platform that inspires creativity and helps people plan meaningful memories. They are seeking a Principal Machine Learning Engineer to lead the Growth Engineering team, focusing on technical strategy and architecture to enhance user engagement and growth. The role involves collaborating with product teams and mentoring engineers to ensure high-quality capabilities and a world-class user experience.

Responsibilities:

• Develop strong partnerships with product teams to understand and proactively address future technology needs and current developer pain points
• Champion and drive large-scale, cross-functional initiatives that grow user visitation and engagement depth of our platform
• Act as the ultimate 'advocate' for engineers on Growth including representing needs to leadership and prioritizing projects on the platform teams that ensure high quality capabilities and a world-class Pinner experience
• Scale your leadership through both direct mentorship and via best practices, processes, training and tools
• Ensure solid technical plans are in place for projects within Growth via direct review or delegation
• Be the technical point of contact for decisions that impact the whole Pinterest platform via the Growth initiatives and for cross-functional partners for an 125+ member org

Requirements:

• Deep expertise building large scale ML systems at scale with modern frameworks
• Knowledge of (and a passion for) building responsible and quality first discovery surfaces to drive user visitations
• Track record of innovating and delivering large, cross-functional projects across multiple organizations
• Strong written and verbal communication skills and proven ability to collaborate cross-functionally
• Degree in Computer Science, Machine Learning, Statistics or related field
• 10+ years of professional experience as a hands-on engineer and technical leader leading multiple projects
• Experience using 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