Detect and suppress bad sellers robustly

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

Quick Answer: 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.

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Oct 13, 2025, 9:49 PM
hardData ScientistTechnical ScreenMachine Learning
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