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 comment ranking for a news feed

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's ability to design an ML-powered comment-ranking system, testing competencies in personalization, engagement and quality modeling, data and label definition, online serving, and robustness to abuse and latency constraints within the ML System Design domain.

medium
Meta
ML System Design
Machine Learning Engineer

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Design comment ranking for a news feed

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