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Scaling Machine Learning Workflows to Big Data with Fugue - Kevin Kho, Prefect & Han Wang, Lyft
Apache Spark™ ML and Distributed Learning (1/5)
Real-Time ML in Marketplace at Lyft
Using causal modeling to make better decisions – examples from Lyft
Lecture 33: Distributed Machine Learning and Optimization: Introduction
The $100M Problem: How Lyft's Data Platform Prevents ML Failures with Ritesh Varyani at Lyft
“Boring” Problems in Distributed ML feat. Richard Liaw | Stanford MLSys Seminar Episode 28
Building a Modern Machine Learning Platform on Kubernetes | Lyft
Flyte: Cloud Native Machine Learning & Data Processing Platform - Ketan Umare & Matthew Smith, Lyft
Distributed training with Ray on Kubernetes at Lyft
The d9d Project: Building an extensible and scalable distributed training framework for LLMs
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Last Updated: August 23, 2026
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