Build a fraud detection model

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Quick Overview

This question evaluates competency in designing end-to-end fraud detection machine learning systems, including defining prediction targets and labels, feature engineering, model family selection, handling severe class imbalance and label delay, evaluation metrics, thresholding for action, and post-deployment monitoring.

Build a fraud detection model

Company: Shopify

Role: Machine Learning Engineer

Category: Machine Learning

Difficulty: medium

Interview Round: Technical Screen

Overview: This question evaluates competency in designing end-to-end fraud detection machine learning systems, including defining prediction targets and labels, feature engineering, model family selection, handling severe class imbalance and label delay, evaluation metrics, thresholding for action, and post-deployment monitoring.

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

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Shopify
Mar 1, 2026
mediumMachine Learning EngineerTechnical ScreenMachine Learning
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