Detect and suppress bad sellers robustly

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Quick Overview

This question evaluates a candidate's competence in designing end-to-end machine learning risk systems, including label strategy and triage, feature engineering and leakage control, modeling with cost-sensitive losses, evaluation and calibration, ranking integration, and human-in-the-loop operations.

Detect and suppress bad sellers robustly

Company: TikTok

Role: Data Scientist

Category: Machine Learning

Difficulty: hard

Interview Round: Technical Screen

Overview: This question evaluates a candidate's competence in designing end-to-end machine learning risk systems, including label strategy and triage, feature engineering and leakage control, modeling with cost-sensitive losses, evaluation and calibration, ranking integration, and human-in-the-loop operations.

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

|Home/Machine Learning/TikTok
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TikTok
Oct 13, 2025
hardData ScientistTechnical ScreenMachine Learning
5
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