Meta Machine Learning Engineer Interview Questions
The questions to prepare for a Meta Machine Learning Engineer interview. Questions from real interview reports rank first. Updated weekly.
Compute the sum of binary tree node values within an inclusive range using DFS with pruning.
MetaMerge overlapping intervals by sorting time ranges and scanning once to build the minimal non-overlapping result.
MetaUse a heap or sorting by squared distance to return the k closest 2D points to the origin.
MetaCompare L1 and L2 regularization in logistic regression for Meta Ads click prediction, focusing on overfitting, sparsity, and holdout performance.
MetaCompare bagging and boosting on a Meta account integrity classifier, and recommend the better ensemble for imbalanced risk prediction.
MetaCompare logistic regression and a tree-based classifier for Facebook ad-account enforcement prediction, and justify when logistic regression is the better production choice.
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Design the end-to-end ML system for Facebook Feed recommendation, from retrieval and ranking to serving, evaluation, monitoring, and failure handling.
MetaDesign Facebook Feed recommendation infrastructure for 1.2B DAU, balancing global scale, freshness, and p99 latency under 150ms.
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