Manager II, Machine Learning Engineering, Core Engineering
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the produ
What this role actually needs.
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the produ Responsibilities: - Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users. Potential areas of impact include ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability - Deeply understand the Pinterest product and 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. Identify team needs and hire strong candidates - Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding - Provide visibility to senior leadership regarding the team’s global impact - Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest Requirements: - MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, 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. Natural language processing and computer vision is a bonus - 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 Company context: Pinterest is the visual discovery platform that powers idea search and shopping across web and mobile.
Day-to-day expectations
Pinterest lists these responsibilities for the Manager II, Machine Learning Engineering, Core Engineering role.
- Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users. Potential areas of impact include ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability
- Deeply understand the Pinterest product and 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. Identify team needs and hire strong candidates
- Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding
- Provide visibility to senior leadership regarding the team’s global impact
- Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, 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. Natural language processing and computer vision is a bonus
- 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
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On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.
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Open the source listing from pinterestcareers.com, confirm the role is still active, then apply on the employer or ATS page.
Source: pinterestcareers.com · Source ID: 7075176 · Confidence: 90/100 · Last checked: May 7, 2026
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