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Uber/Lyft System Design: Scale to 10M Trips Daily #geo-hashing #real-timeupdates #locationindexing
Scaling Machine Learning Workflows to Big Data with Fugue - Kevin Kho, Prefect & Han Wang, Lyft
Real-Time ML in Marketplace at Lyft
Federated Learning: Machine Learning on Decentralized Data (Google I/O'19)
Lecture 33: Distributed Machine Learning and Optimization: Introduction
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
AWS re:Invent 2019: Cloud-native machine learning at Lyft with AWS Batch and Amazon EKS (CON235-P)
Building a Modern Machine Learning Platform on Kubernetes | Lyft
Flyte: Cloud Native Machine Learning & Data Processing Platform - Ketan Umare & Matthew Smith, Lyft
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Last Updated: August 14, 2026
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