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Lyft’s Feature Store: Architecture, Optimization, and Evolution

Written by Rohan Varshney, with support from Devon Mittow & Janice Lee.

11 min read

Lyft’s Feature Store: Architecture, Optimization, and Evolution

11 min read

LyftLearn Evolution: Rethinking ML Platform Architecture

Written by Yaroslav Yatsiuk

15 min read

LyftLearn Evolution: Rethinking ML Platform Architecture

15 min read

My Starter Project on the Lyft Rider Data Science Team

I joined Lyft in January of 2024, as a Data Scientist — Decisions, on the Rider Science Core Experience team. My journey at Lyft began…

9 min read

My Starter Project on the Lyft Rider Data Science Team

9 min read

Solving Dispatch in a Ridesharing Problem Space

Imagine having to assemble a dynamic jigsaw puzzle with millions of new pieces every second. How would you approach such a problem…

6 min read

Solving Dispatch in a Ridesharing Problem Space

6 min read

FAQ: Common Questions from Candidates During Lyft Data Science Interviews

Written by Nada Sarsour, Maria Rice, and Kelly Haberl

9 min read

FAQ: Common Questions from Candidates During Lyft Data Science Interviews

9 min read

Technical Learning at Lyft: Build a Strong Data Science Team

Written by Shumpei Goke and Jinshu Niu

6 min read

Image of a collaborative learning environment

6 min read

From Big Data to Better Data: Ensuring Data Quality with Verity

Author: Michael McPhillips, Tech Lead at Lyft

11 min read

Five aspects of data quality — semantic correctness, consistent, complete/unique, well-formed, timely

11 min read

Building Real-time Machine Learning Foundations at Lyft

In early 2022, Lyft already had a comprehensive Machine Learning Platform called LyftLearn composed of model serving, training, CI/CD…

10 min read

Building Real-time Machine Learning Foundations at Lyft

10 min read

The Recommendation System at Lyft

Recommendation plays an important role in Lyft’s understanding of its riders and allows for customizing app experiences to better fulfill…

6 min read

The Recommendation System at Lyft

6 min read

lyft2vec — Embeddings at Lyft

Co-authors: Hakan Baba, Adriana Deneault.

9 min read

An illustrative city map of an unidentified city showing highlighted streets and some topography, but with no labels.

9 min read

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