Engineer Manager, Content Knowledge Signal

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.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. 

Pinterest helps people Discover and Do the things they love. We have more than 450M monthly active users who actively curate an ecosystem of more than 100B Pins on more than 1B boards, creating a rich human curated graph of immense value. 

Technically, we are building out an internet scale personalized recommendation engine in 22+ languages, which requires a deep understanding of the users and content on our platform. As engineer manager on the Content Knowledge Signal team, you’ll work on building 20+ content understanding signals based on Pinterest Knowledge Graph, which will make measurably positive impact on hundreds of millions of users with improved recommendation and featurization breakthroughs on almost all Pinterest product surfaces (Discovery, Shopping, Growth, Ads, etc). 

What you'll do:

• Manage a horizontal team of talented and dedicated ML engineers to build the foundational content understanding and engagement features of our contents to be used across all Pinterest ecosystems
• Utilize state of the art algorithms/industry best practice to build and improve content understanding signals 
• Partner with other engineering teams and sales & marketing team to discover future opportunities to improve content recommendation on Pinterest
• Hire new engineers to grow the team
• Build ML models using text and visual information of a pin, identify the most relevant set of text annotations for that pin. These sets of highly relevant annotations are among the most important features used in more than 30 use cases within Pinterest, including key ranking models of Homefeed, Search and Ads.
• Build ML models using text and images of the products, to understand their product categories (bags, shoes, shirts, etc) and their attributes (brand, color, style, etc). They are used to greatly improve relevance for product recommendation on major shopping surfaces. 
• Build ML models to understand search queries, then use them, together with Pin level signals, to boost search relevance. 
• Build graph based embedding as well as explicit annotation to represent the specialties of our native content creators, to improve creator and native content recommendation.
• Build highly efficient and expandable data pipelines to understand engagement data at various entity levels. Such engagement signals are the major feature of the ranking models for our three main Discovery surfaces. 

What we're looking for:

• 2+ years of industrial experience in ML team’s EM or TL for one or multiple of the following use cases with large scale: ads targeting, search and discovery, growth, content/user understanding
• Hands-on experience working with ML algorithm development and productization.  
• Experience working with PMs and XFN partners on E2E systems and moving business metrics

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Our Commitment to Diversity:

At Pinterest, our mission is to bring everyone the inspiration to create a life they love—and that includes our employees. We’re taking on the most exciting challenges of our working lives, and we succeed with a team that represents an inclusive and diverse set of identities and backgrounds.