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Apache Spark™ ML and Distributed Learning (1/5)
Machine Learning through Streaming at Lyft
Real-Time ML in Marketplace at Lyft
Using causal modeling to make better decisions – examples from Lyft
“Boring” Problems in Distributed ML feat. Richard Liaw | Stanford MLSys Seminar Episode 28
The $100M Problem: How Lyft's Data Platform Prevents ML Failures with Ritesh Varyani at Lyft
Lecture 33: Distributed Machine Learning and Optimization: Introduction
Building a Modern Machine Learning Platform on Kubernetes | Lyft
Lyft’s Feature Store: Architecture, Optimization, and Evolution - Feature Store Summit 2025
Scaling Machine Learning Workflows to Big Data with Fugue - Kevin Kho, Prefect & Han Wang, Lyft
Less Algorithm, More Application: Lyft’s Craig Martell
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Last Updated: August 13, 2026
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