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 product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. 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 ML models for user ads action prediction with low latency.
• Innovate personalized Shopping Ads recommendations through advanced modeling.
• Develop methods for inferring user interests from online/offline activity.
• Mine text, visual, and user signals to understand user intention.
• Leverage multimodal signals (text, visual, user) for better understanding of user intent.
• Collaborate with product and sales teams on new ad products design/implementation.
• Partner cross-functionally with product, sales, data science, engineering teams to optimize ads performance across retrieval and ranking stages.
• Build/improve backend systems and statistical models underlying the marketplace to maximize value for Pinners, Partners, and Pinterest.
• Define/implement experiments to understand long-term Marketplace effects.
• Develop strategies balancing long-term and short-term business objectives.
• Drive multi-functional collaboration across company to improve knowledge of marketplace design/operations.

What they’re looking for:

• Degree in Computer Science, Machine Learning, Statistics or related field.
• Experience building production ML systems at scale; expertise in data mining, search, recommendations or NLP.
• Experience leading projects and mentoring team members.
• Strong mathematical skills including statistical methods knowledge.
• Excellent written/verbal communication skills; strong cross-functional collaboration ability.
• Background in computational advertising is a plus but not required.

Additional info:

• Position not eligible for relocation assistance.
• US based applicants only.
• Salary range: $189,308—$389,753 USD plus equity eligibility.

Pinterest culture:

• Emphasizes equity, inclusion, inspiration for every employee.
• Equal opportunity employer with commitment to non-discrimination based on various protected characteristics.