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Lyft Machine Learning Engineer Interview Experience

Lyft · Mid level

ResultRejected

Timespan3 weeks

DifficultyMedium

Rounds5

Interview process

It was more or less what I expected.

Interview rounds · 5

1
Recruiter screen
Behavioral
1. Q1. What is your background and experience like?
2
Online assessment
Coding
1. Q1. Implement K-means
3
Phone screen
Behavioral
1. Q1. A coding question that was a variant of the interval overlapping problem
4
Technical round
TechnicalSystem Design
1. Q1. Design a system that recommends nearby attractions to users who open the Lyft app.
5
Final / onsite round
Behavioral

An HR person was the interviewer.
1. Q1. Behavioral HR round on my past, mistakes I've made and what I learned, and explanation of one of my past projects.
2. Q2. Tell me about a time you made a mistake.
3. Q3. What is a lesson you learned from that experience?
4. Q4. Walk me through one of your past projects.

Tips from the candidate

Need to learn system design, basic ML algorithms, and some basic LeetCode medium-level coding skills.

Details

CompanyLyft

RoleMachine Learning Engineer

LevelMid level

LocationCanada

InterviewedFeb 2026

Questions asked8