ML System Design Interview Questions

Practice the most common ML system design interview questions asked at top tech companies. Master the structured approach to tackling these complex problems.

Recommendation Systems

Intermediate

Content-Based Recommendation System

A common ML system design interview question asked at Netflix, Spotify, and Amazon.

Recommendation Systems
Feature Engineering
Similarity Metrics

Anomaly Detection

Coming Soon
Advanced

Real-time Fraud Detection System

Frequently asked at financial companies and payment platforms like PayPal and Stripe.

Anomaly Detection
Real-time Processing
Feature Engineering

Search & Retrieval

Coming Soon
Advanced

Search Ranking System

Popular system design question at Google, Amazon, and other search-heavy companies.

Information Retrieval
Ranking
Relevance Scoring

Prediction Systems

Coming Soon
Intermediate

Ad Click Prediction System

Commonly asked at Google, Meta, and other ad-tech companies during ML interviews.

Click Prediction
Online Learning
Feature Engineering

Computer Vision

Coming Soon
Advanced

Large-Scale Image Recognition Service

Frequently asked at computer vision companies and ML infrastructure interviews.

Computer Vision
Scalability
Model Serving

Natural Language Processing

Coming Soon
Advanced

Conversational AI System

Popular interview question at companies building LLM applications and chatbots.

NLP
Dialogue Systems
Context Management

Forecasting

Coming Soon
Intermediate

Time Series Forecasting System

Common at retail, finance, and logistics companies during ML system design rounds.

Time Series
Forecasting
Seasonality

MLOps

Coming Soon
Intermediate

ML Feature Store

Increasingly popular in ML infrastructure interviews at tech giants and startups.

Feature Store
MLOps
Data Engineering