Manager II, Machine Learning Engineering - Search Ranking & Blending

Pinterest helps Pinners discover and do what they love. At the core of this discovery experience is Pinterest search. The Search Ranking and Blending team is focused on making Pinterest searches fast, personalized, and relevant for the billions of monthly searches. We seek an exceptional technical leader and engineering manager for this team who can drive cross-team engineering efforts to deliver ML-driven product experiences to our Pinners. This role offers the opportunity to work on innovative projects, build state-of-the-art machine learning models and significantly impact our Pinners and business metrics.

What you’ll do:

• Be responsible for the search ranking and blending area, a significant component of the search product at Pinterest. The search product serves more than 500M active Pinterest users. As part of the search ranking and blending team, you will be responsible for modeling engagement and personalization on Search, as well as owning the blending layer that determines how we tradeoff against relevance, personalization and diversity within the search result page.
• Deeply understand the Pinterest search product and drive the vision for the search ranking and blending team, ensuring the team’s work directly contributes to the company’s goals.
• Manage and mentor a team of Machine Learning engineers, providing 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 search experience for users, including Search Product, Infrastructure, research, and content signals.
• Provide visibility to senior leadership regarding the team’s impact.
• Partner with stakeholders across the company, including product management, data scientists, and design, to expand impact.
• Build a culture of excellence and expertise within the team.

What we’re looking for:

• MS or PhD degree in Computer Science, Machine Learning, Statistics or related field, or equivalent experience.
• Proven experience in leading and managing large-scale production systems, such as search, recommendation, or advertising platforms, utilizing advanced machine learning and big data technologies.
• Strong background in applied machine learning; familiarity with recommendation systems is highly desirable.
• 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 2 years of experience managing a high-performing machine learning engineering team of 8+ members.
• 8+ years of experience in software development, with a proven track record of delivering impactful solutions.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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