Manager II, Machine Learning Engineering, Core Engineering

We're seeking a seasoned Machine Learning Engineer Engineering Manager II to lead our Core Engineering team in driving the technical direction, strategic planning, and execution of our machine learning initiatives. As a key member of our team, you will be responsible for major areas of search, recommendations, notifications, and more for over 500 million monthly active Pinterest users. Your expertise will help us build large-scale low-latency systems and state-of-the-art machine learning models that deliver great impact to our Pinners and business metrics.

Key Responsibilities:

• Drive the vision for the team, ensuring the team's work directly contributes to the company's goals
• Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers
• Collaborate closely with other engineering teams at Pinterest to enhance the experience for users
• Provide visibility to senior leadership regarding the team's global impact
• Partner with stakeholders across the company to shape the future of the content ecosystem and personalization at Pinterest

Requirements:

• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, or equivalent experience
• Experience leading and working on a large-scale production recommendation, e-commerce, search, or ads systems that are based on state-of-the-art machine learning and big data technology
• Strong experience in related fields such as recommendation systems and applied machine learning experience is required
• Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution
• Strong focus on product impact and user experience within a consumer-focused environment
• Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members
• 8+ years of experience in software development, with a proven track record of delivering impactful solutions

Nice to Have:

• 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