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Improving Support for Deep Learning in Etsy’s ML Platform

Posted Mar 30, 2023 | Views 562
# Deep Learning
# ML Platform
# Etsy
# Etsy.com
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Kyle Gallatin
Senior Software Engineer @ Etsy

Kyle Gallatin is currently a Software Engineer for Machine Learning Platforms at Etsy. As a previous Data Scientist and Machine Learning Engineer, Kyle has extensive experience engineering data and ML model features, building ML models and ML pipelines, and deploying ML models to production. Kyle is also the author of the O’Reilly report: The Framework for ML Governance, 2nd author of O’Reilly’s Machine Learning in Python Cookbook, an instructor at New York City Data Science Academy, and a frequent publisher of other topics in ML and ML infrastructure for Etsy’s Code as Craft publication and Towards Data Science on Medium. In his personal life, he’s a frequent traveler, snowboarder, unsuccessful public figure, and lover of all things beer/wine and food.

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SUMMARY

With the increasing number of deep learning models in production, Etsy faces new challenges in terms of scaling and managing the models. The talk highlights the custom feature transformations, ideal infrastructure settings, and early feedback loop on the latency of models as some of the challenges faced. Etsy has developed new processes and tooling to address these challenges and improve the performance of the platform.

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