Design comment ranking for a news feed

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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.

Design comment ranking for a news feed

Company: Meta

Role: Machine Learning Engineer

Category: ML System Design

Difficulty: medium

Interview Round: Onsite

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.

Read the full Meta Machine Learning Engineer interview experience this question came from

|Home/ML System Design/Meta
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Meta
Dec 15, 2025
mediumMachine Learning EngineerOnsiteML System Design
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