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 recommendation and weapon-ad detection systems

Last updated: Mar 29, 2026

Quick Overview

This question evaluates proficiency in end-to-end ML system design, covering scalable recommendation systems and safety-focused ad classification with competencies in data engineering, modeling, serving, evaluation, monitoring, and operational trade-offs.

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Meta
ML System Design
Machine Learning Engineer

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Design recommendation and weapon-ad detection systems

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