Foursquare Machine Learning Engineer Interview Questions
The questions to prepare for a Foursquare Machine Learning Engineer interview. Questions from real interview reports rank first. Updated daily.
Implement batch gradient descent to fit a one-feature linear model for Plymouth Rock Assurance claim severity estimates.
FoursquareCompare common sorting algorithms by best, average, and worst-case time complexity and explain when each is appropriate.
FoursquareStructured approach for improving an underperforming model through validation, tuning, threshold selection, and bias variance diagnosis.
FoursquareApproach for evaluating models so performance is stable, well calibrated, and fit for production scale.
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Design a recommendation system that uses user behavior to retrieve, rank, and re-rank items at scale.
FoursquareDesign a cloud ML deployment system for a security product, covering training, serving, updates, and production monitoring.
FoursquareBuild a classifier for a highly imbalanced dataset and choose metrics, sampling, and thresholds that fit the minority class.
FoursquareAssesses your ability to operationalize ML with robust evaluation, deployment, and continuous improvement.
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