Ads Ranking Evolution at Pinterest // Aayush Mudgal // #211

Feb 13, 2024

Aayush Mudgal, Senior Machine Learning Engineer at Pinterest, discusses the evolution of ads ranking at Pinterest, including transitioning to deep learning-based transformer models. Topics covered include challenges in productionizing large language models, transitioning to deep learning models, incorporating sequential signals, multi-task learning, and transfer learning, scaling machine learning at Pinterest, and the use of transformers in ad rankings and recommendation models.

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Introduction

00:00 • 2min

Evolution of Ads Ranking at Pinterest

02:01 • 6min

Building Products in Machine Learning

08:08 • 12min

Changes in Machine Learning at Pinterest

19:55 • 6min

Differences in Ranking Conversion Ads vs. Video Ads

26:07 • 2min

The Trade-Off of Effort and Payoff in Implementing New Features

28:02 • 17min

Transformers for Ad Rankings and Recommendation Models

45:24 • 7min

Aayush Mudgal is a Senior Machine Learning Engineer at Pinterest, currently leading the efforts around Privacy-Aware Conversion Modeling. Large Language Models have taken the world by storm. But what are the real use cases? What are the challenges in productionizing them? In this event, you will hear from practitioners about how they are dealing with things such as cost optimization, latency requirements, trust of output, and debugging. You will also get the opportunity to join workshops that will teach you how to set up your use cases and skip over all the headaches. Join the AI in Production Conference on February 15 and 22 here: https://home.mlops.community/home/events/ai-in-production-2024-02-15 ________________________________________________________________________________________ MLOps podcast #211 with Aayush Mudgal, Senior Machine Learning Engineer at Pinterest, Ads Ranking Evolution at Pinterest. // Abstract Listen to the lessons from the journey of scaling ads ranking at Pinterest using innovative machine learning algorithms and innovation in the ML platform. Learn how they transitioned from traditional logistic regressions to deep learning-based transformer models, incorporating sequential signals, multi-task learning, and transfer learning. Discover the hurdles Pinterest overcame and the insights they gained in this talk, as Aayush shares the transformation of ads ranking at Pinterest and the lessons learned along the way. Discover how ML Platform evolution is crucial for algorithmic advancements. // Bio Aayush Mudgal is a Senior Machine Learning Engineer at Pinterest, currently leading the efforts around Privacy-Aware Conversion Modeling. He has a successful track record of starting and executing 0 to 1 projects, including conversion optimization, video ads ranking, landing page optimization, and evolving the ads ranking from GBDT to DNN stack. His expertise is in large-scale recommendation systems, personalization, and ads marketplaces. Before entering the industry, Aayush conducted research on intelligent tutoring systems, developing data-driven feedback to aid students in learning computer programming. He holds a Master's in Computer Science from Columbia University and a Bachelor of Technology in Computer Science from the Indian Institute of Technology Kanpur. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links https://www.youtube.com/watch?v=MZVIxtsGzBg https://www.youtube.com/watch?v=ffpPUr8Hg6U --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Aayush on LinkedIn: https://www.linkedin.com/in/aayushmudgal/