Pinterest Machine Learning Engineer interview: ML theory and quick rejection

Pinterest·Machine Learning Engineer·Reported Jul 2026
Technical ScreenRejectedHard

The loop was short but rough. In the initial conversation, I tried to explain my projects, but the interviewer did not seem willing to listen. I then had a technical machine-learning session covering core theory, including vanishing gradients and ensemble methods such as bagging and boosting.

There was also a LeetCode-style problem for about 30 minutes. The process ended quickly, and I received an HR rejection roughly half an hour after the interview.

The result was not the only difficult part. The early tone put me on edge, and I felt I had not been given a fair chance to communicate clearly.

Location: Palo Alto, CA. Overall feedback: negative. Offer status: no offer.

Published

Curated and edited by PracHub

Discussion

Sign in to join the discussion. The author is notified of every comment.

Loading comments…

Interview at a glance

Company
Pinterest
Role
Machine Learning Engineer
Rounds
Technical Screen
Outcome
Rejected
Difficulty
Hard
Date
Reported Jul 2026

Real Pinterest interview experiences

First-hand reports from Pinterest candidates — the rounds, the questions they were asked, and how it went.

All 20 Pinterest interview experiences