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 an ads ranking system with calibration

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's ability to design scalable, low-latency online machine learning systems for ads ranking, covering competencies in feature engineering, ranking model architecture, probability calibration, training and serving pipelines, and monitoring.

medium
Meta
ML System Design
Machine Learning Engineer

|Home/ML System Design/Meta

Design an ads ranking system with calibration

Submit Your Answer to Earn 20XP

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

Your design canvas — auto-saved