Model an ads ranking system
Company: Snapchat
Role: Machine Learning Engineer
Category: Machine Learning
Difficulty: medium
Interview Round: Onsite
Overview: This question evaluates machine learning modeling, feature engineering, and systems-level ranking competencies for ad selection and monetization, covering prediction targets (CTR/CVR/expected value), handling sparse and categorical features, delayed feedback and bias, calibration, evaluation metrics, and online experimentation.
Read the full Snapchat Machine Learning Engineer interview experience this question came from