Job Information
Pinterest, Inc. Manager II, Machine Learning - Ads Retrieval in Seattle, Washington
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 helpingPinnersmake 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. 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. Lead and empower a team of talented Machine Learning Engineers within the Ads Retrieval Team at Pinterest, driving the innovation and execution of our global Shopping Ads platform. As a Manager II, Machine Learning, you will be instrumental in shaping the technical vision and strategy for the next generation of ads retrieval models and scalable infrastructure. You will guide your team in pioneering advancements across cutting-edge technologies vital to our advertising ecosystem, including Generative Retrieval, User Sequence Modeling, Learning to Rank, and large-scale Approximate Nearest Neighbor (ANN) techniques. You will oversee the team's efforts in tackling challenges at immense scale - managing a 5 billion+ shopping ads index - and ensure we leverage the most efficient techniques to deliver exceptional performance. This is a high-impact leadership opportunity to shape the future of Pinterest Shopping Ads, directly impacting user experience and advertiser success in a unique discovery-driven marketplace. What you'll do: Lead and mentor a team of Machine Learning Engineers: Provide technical guidance, mentorship, and career development for a team focused on designing, implementing, and scaling next-generation retrieval models for Shopping Ads. Foster a collaborative and high-performing team culture. Define and drive the technical vision and strategy for Ads Retrieval: Collaborate with Product, Data Science, and Engineering leadership to establish a clear roadmap for innovation in retrieval models and infrastructure, aligning with the overall Pinterest Shopping Ads strategy. Oversee the design and implementation of advanced retrieval models: Guide the team in pioneering advanced architectures beyond traditional approaches, leading the implementation and optimization of Generative Retrieval, User Sequence Modeling, and Learning-to-Rank models to significantly enhance ad relevance, capture user intent, and improve ranking quality. Direct the development and optimization of massively scalable and efficient Ads Retrieval infrastructure: Lead the evolution of our next-gen infrastructure, ensuring it can handle a 5 billion+ Shopping Ads index with lightning-fast, cost-effective retrieval through techniques like efficient ANN algorithms, GPU-accelerated systems, and embedding quantization. Champion innovation in personalized Shopping Ads recommendations: Steer the team in developing hyper-personalized retrieval models that incorporate user sequence modeling, learning-to-rank, and generative retrieval to surface the most relevant and novel ads, continuously pushing the boundaries of personalization. Foster a holistic approach to retrieval excellence: Evaluate and advocate for the integration of cutting-edge technologies, including Large Language Models (LLMs), Generative Retrieval techniques, advanced Sequence Mo