Machine Learning Engineer · Phone Screen · Multiple Types

[ OK ] 6138a321-ce73-49bc-b713-7f6b1f826086 — full writeup

[ INFO ] category: Behavioral · Multiple Types difficulty: 6 freq: first seen: 2026-03-24

[6][MULTIPLE TYPES]Machine LearningOverfittingOne-Hot Encoding

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Lyft — Machine Learning Engineer ❌ Failed

Level: Senior-Level

Round: Phone Screen · Type: Multiple Types · Difficulty: 6/10 · Duration: 75 min · Interviewer: Unfriendly

Topics: Machine Learning, Overfitting, One-Hot Encoding

Location: San Francisco Bay Area

Interview date: 2026-01-15

Got offer: False

Summary

The interview consisted of two parts: a discussion on machine learning fundamentals and a coding task.

Details

The interview lasted 75 minutes. In the first 30 minutes, I was asked about machine learning fundamentals. I was given five sets of train/test error comparisons and asked to analyze each one, including how to solve overfitting. For the remaining 45 minutes, I had to implement a one-hot encoder.

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