Amazon Applied Scientist Interview Experience — Phone Screen Covers Music Recommendation CTR System Design

Amazon·Applied Scientist·Sep 2026
Technical ScreenIn progressmedium

Phone screen

Describe yourself
What's your PhD topic
What's your contribution
Describe a time when you deliver under tight timeline

ML
Given a music recommendation, how would you design a system to convert to CTR rate?
How do you embed the song?
How do you deal with certain features?
How do you deal with extremely sparse feature?

Results aren't out yet, will update as I know more.

Describe an ML algorithm which produces the CTR rate?
Compare the algorithm.
What is the metric?
What index do you look at?
Describe the quadrils?
What is the secondary metrics?
If CTR is lifted with 2%, what do you do next?
If it's successful, what do you do next?

Published

Curated and edited by PracHub

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Interview at a glance

Company
Amazon
Role
Applied Scientist
Rounds
Technical Screen
Outcome
In progress
Difficulty
medium
Interview date
Sep 2026
Questions from this interview
3 questions

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