How do I approach ML System Design interview questions?

ML System Design questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master ml system design interviews.

What difficulty level is this interview question?

This is a medium difficulty ML System Design question, commonly asked during Onsite rounds at Meta.

What role is this question designed for?

This question is commonly asked for Machine Learning Engineer candidates at Meta during technical interviews.

Design a newsfeed dislike model | Meta Interview Question

Design a newsfeed dislike model

Last updated: Apr 2, 2026

Quick Overview

This question evaluates a candidate's ability to design and operationalize a machine learning model that predicts the probability of a user disliking a social newsfeed post, testing competencies in label design, training data construction, feature engineering, model selection, offline evaluation, online experimentation, and serving and ranking integration. It is in the ML System Design category for Machine Learning Engineer roles and is commonly asked to assess practical experience with production ML pipelines and metric trade-offs; the problem requires both conceptual understanding of design trade-offs and practical application skills for deployment and handling new signals and offline/online metric discrepancies.

Solution

Show

Comments (0)

Loading comments...

Browse More Questions

More ML System Design•More Meta•More Machine Learning Engineer•Meta Machine Learning Engineer•Meta ML System Design•Machine Learning Engineer ML System Design