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Written by Yaroslav Yatsiuk
At Lyft, machine learning (ML) is the engine behind our most critical business functions — from dispatch and pricing optimization to fraud detection and support automation. Our ML infrastructure serves thousands of production models making hundreds of...
I joined Lyft in January of 2024, as a Data Scientist — Decisions, on the Rider Science Core Experience team. My journey at Lyft began with a starter project, which focussed on using the Rider Experience Score (RES) tool to measure long-term effects of various rider experiences at&nbs...
Introduction
Lyft started adopting Kotlin into our Android codebase in 2018. Fast forward 7 years, and we are finally done! Lyft Rider, Driver and Lyft Urban Solutions apps are now fully Kotlin-based.
I joined Lyft in 2022, so this post will describe the efforts undertaken after that.
Our motivation included several points:
Written by Morteza Taiebat and Han Gong at Lyft.
This post is authored by two current Lyft Data Scientists, Morteza Taiebat and href="https://www.linked...
