Staff Machine Learning Engineer, Monetization

Within our Ads Performance and Ads Delivery teams, we connect the dots between what Pinners aspire to do and the products our advertising partners offer—building personalized, discovery-driven experiences that help people create a life they love. Pinterest is just over 4,000 employees globally, which means our teams stay small, high-ownership, and fast-moving, with hands-on access to an exceptional vault of data and the chance to build and evolve large-scale recommendation and ranking systems at real-world scale.

We’re hiring multiple Staff Machine Learning Engineers across our Ads Machine Learning org within Monetization Engineering. In this role, you’ll lead innovation across core applied ML and marketplace technologies that power our ads ecosystem—advancing our ads ranking stack, building the next generation of scalable ads retrieval models, and improving shopping discovery for millions of users. You’ll also help shape the evolution of the Pinterest marketplace by designing systems and experiments that improve the ads delivery funnel, inform the utility function, and influence auction mechanisms and ad allocation—using deep analysis of marketplace dynamics to unlock new insights. Overall, this is a high-impact opportunity to define what great looks like for Pinterest Shopping Ads, directly improving both user experience and advertiser outcomes in a uniquely discovery-first marketplace.

What you’ll do:

• Design features and build large-scale machine learning models to improve user ads action prediction with low latency
• Drive innovation in personalized Shopping Ads recommendations through advanced modeling
• Develop new methods for inferring user interests from online and offline activity
• Mine text, visual, user signals to better understand user intention
• Leverage multimodal signals (text, visual, user) to better understand user intent
• Collaborate with product and sales teams to design and implement new ad products
• Partner cross-functionally  with product, sales, data science, and engineering teams to design and improve user journey and optimize ads performance across all stages of retrieval and ranking
• Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
• Define and implement experiments to understand long term Marketplace effects
• Develop strategies to balance long and short term business objectives.
• Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.

What we’re looking for:

• Degree in Computer Science, Machine Learning, Statistics or related field
• Experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing
• Experience leading projects and mentoring team members
• Strong mathematical skills with knowledge of statistical methods
• Excellent written and verbal communication skills and strong cross-functional collaboration
• Background in computational advertising is a plus, but not required

This position is not eligible for relocation assistance.

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