Machine Learning Engineering Manager – II, Notification Delivery

Pinterest

About Pinterest:

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

The Engineering Manager for the Notification Delivery team is a high impact role that owns a critical part of the growth funnel: user retention and re-engagement through highly relevant and timely Notifications. The team develops and maintains both the company-wide Platform and the ML Models powering the reliable, targeted and timely delivery of omni-channel Notifications (Push, Email, Widgets etc.). The ML-powered platform delivers billions of highly relevant and timely notifications to hundreds of millions of users worldwide. You will grow the metrics impact of the team, work with Product to set the Notification delivery strategy, and influence the company’s user growth strategy.

What you’ll do:

  • Manage and mentor a team of Machine Learning and Backend engineers, providing guidance and support to grow their careers. The team’s work directly contributes towards the company’s Growth goals.
  • Help develop and shape Pinterest’s Notifications strategy.
  • Work closely with cross-functional teams, including product managers, engineers, data scientists.

What we’re looking for:

  • Ph.D. with 5+ years or Masters with 6+ years of industry experience working on production machine learning systems at scale, including recommendation, search, growth and/or ads systems.
  • 1+ years experience on managing ML engineering teams with 5+ engineers.
  • Experience in partnering with cross-functional stakeholders to plan and deliver on business outcomes.

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