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Updated weekly · Last refresh Aug 30

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.

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1
CodingStart here. 9 questions · ~100 min
Range Sum in Binary TreeMedium
Practice
Recently asked

Compute the sum of binary tree node values within an inclusive range using DFS with pruning.

RecursionMathTreesMeta
Merge Overlapping Time RangesMedium
Practice
Recently asked

Merge overlapping intervals by sorting time ranges and scanning once to build the minimal non-overlapping result.

ArraysSortingGreedyMeta
K Closest Points to OriginMedium
Practice
Recently asked

Use a heap or sorting by squared distance to return the k closest 2D points to the origin.

MathArraysHeapMeta
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2
Machine Learning8 questions · ~88 min
Tune L1 vs L2 for AdsMedium
Recently asked

Compare L1 and L2 regularization in logistic regression for Meta Ads click prediction, focusing on overfitting, sparsity, and holdout performance.

Meta
Bagging vs Boosting for Integrity RiskHard
Recently asked

Compare bagging and boosting on a Meta account integrity classifier, and recommend the better ensemble for imbalanced risk prediction.

Meta
Choose Logistic Regression for Integrity RiskEasy
Recently asked

Compare logistic regression and a tree-based classifier for Facebook ad-account enforcement prediction, and justify when logistic regression is the better production choice.

Meta
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3
System Design17 questions · ~188 min
Design Facebook Feed RecommenderHard
Recently asked

Design the end-to-end ML system for Facebook Feed recommendation, from retrieval and ranking to serving, evaluation, monitoring, and failure handling.

ML RankingRetrievalRecommendation SystemsMeta
Scale Facebook Feed RecommendationsHard
Recently asked

Design Facebook Feed recommendation infrastructure for 1.2B DAU, balancing global scale, freshness, and p99 latency under 150ms.

Feature StoreModel ServingRecommendation SystemsMeta
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4
Behavioral & Leadership16 questions · ~177 min
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