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Lyft Engineering - Medium
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Latest posts
Last updated about 1 month ago
How We Built a Smarter Pickup Experience for Gated Communities
about 1 month ago
Written by Winnie YanIf you live in a gated community, you’ve been...
Predicting Rider Conversion in Sparse Data Environments with Bayesian Trees
2 months ago
At Lyft, understanding how riders go through our user experience is fundamental...
Beyond A/B Testing: Using Surrogacy and Region-Splits to Measure Long-Term Effects in Marketplaces
2 months ago
Image generated with Gemini 3 Pro (Google), 2026.Written by Amber Wang and...
Scaling Localization with AI at Lyft
3 months ago
Written by Stefan ZierFor years, Lyft’s localization infrastructure relied exclusively on human...
Trusting the Untestable: Validation and Diagnostics for the Doubly Robust Models
4 months ago
written by Ross Chu and Shima NassiriThe Causal Frontier: Measurement Beyond RandomizationThe...
Lyft’s Feature Store: Architecture, Optimization, and Evolution
5 months ago
Written by Rohan Varshney, with support from Devon Mittow & Janice Lee.This...
From Python3.8 to Python3.10: Our Journey Through a Memory Leak
6 months ago
Image generated with ChatGPT (OpenAI), 2025.IntroWhen working with Python, memory management often...
LyftLearn Evolution: Rethinking ML Platform Architecture
7 months ago
Written by Yaroslav YatsiukAt Lyft, machine learning (ML) is the engine behind...
My Starter Project on the Lyft Rider Data Science Team
8 months ago
Credit to Brian Wu for creating the illustrations in this post.I joined...
Migrating Lyft’s Android Codebase to Kotlin
9 months ago
IntroductionLyft started adopting Kotlin into our Android codebase in 2018. Fast forward...
Intern Experience at Lyft
10 months ago
Written by Morteza Taiebat and Han Gong at Lyft.IntroductionThis post is authored...
Solving Dispatch in a Ridesharing Problem Space
10 months ago
Imagine having to assemble a dynamic jigsaw puzzle with millions of new...