Build and evaluate illegal-video classifier

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Quick Overview

This question evaluates competency in end-to-end Machine Learning system design, including multimodal modeling (vision, audio, text), data engineering for sparse, noisy, and imbalanced labels, robustness and abuse resistance, human-in-the-loop workflows, privacy/retention concerns, and operational metrics.

Build and evaluate illegal-video classifier

Company: Google

Role: Data Scientist

Category: Machine Learning

Difficulty: hard

Interview Round: Technical Screen

Overview: This question evaluates competency in end-to-end Machine Learning system design, including multimodal modeling (vision, audio, text), data engineering for sparse, noisy, and imbalanced labels, robustness and abuse resistance, human-in-the-loop workflows, privacy/retention concerns, and operational metrics.

Read the full Google Data Scientist interview experience this question came from

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Oct 13, 2025
hardData ScientistTechnical ScreenMachine Learning
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