Design weapon-selling ad detection from posts

Q: 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.

Q: What difficulty level is this interview question?

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

Q: What role is this question designed for?

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

Question

Design weapon-selling ad detection from posts

PracHub · Accepted Answer

This question evaluates a candidate's ability to design a production-scale multimodal ML system for detecting weapon-selling ads, testing competencies in policy definition, data and labeling strategy, multimodal feature/model design, robustness to evasion, latency and precision/recall trade-offs, human-in-the-loop workflows, monitoring, and privacy-aware deployment. It is commonly asked in the ML system design domain to assess architectural thinking for safety-critical content moderation and operational MLOps, requiring both conceptual understanding of policy and trade-offs and practical application for deployment, evaluation, and iteration.

Design weapon-selling ad detection from posts

Quick Overview

Design weapon-selling ad detection from posts

Submit Your Answer to Earn 20XP