Top 49
Prep plan
Updated weekly · Last refresh Nov 6

Meta Computer Vision Engineer Interview Questions

The questions to prepare for a Meta Computer Vision Engineer interview. Questions from real interview reports rank first. Updated daily.

49questions
~8htotal time
Track your progressSign up free to work through all 49 questions and resume where you left off.
Start practicing free →
1
CodingStart here. 12 questions · ~123 min
Sparse Matrix-Vector MultiplicationMedium
Practice

Multiply a sparse matrix by a vector efficiently by iterating only over nonzero entries.

ArraysAlgorithmsMeta
Detect Islands in 2D GridMedium
Practice

Scan a binary grid and count land cells that begin distinct islands using upper and left neighbor checks.

ArraysdfsMatrixMeta
More Coding questions with a free account
2
System Design7 questions · ~72 min
Depth Estimation from a Single ImageHard

Design a depth-from-one-image system, including model choice, training data, serving, and evaluation under ambiguous ground truth.

designModel Servingcomputational costMeta
System for Street-Level ImageryHard

Design a Street View style system for collecting, processing, and serving geospatial imagery at global scale.

Feature Storecomplex systemsdata collectionMeta
More System Design questions with a free account

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan
3
Machine Learning15 questions · ~154 min
Handling Overfitting in ModelsEasy

Explain practical ways to reduce overfitting and improve generalization using validation, regularization, and model complexity control.

Cross-ValidationBias-Variance TradeoffRegularizationMeta
Supervised vs Unsupervised LearningEasy
Recently asked

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffMeta
More Machine Learning questions with a free account
4
Behavioral & Leadership13 questions · ~133 min
More Behavioral & Leadership questions with a free account
5
More topics2 questions · ~20 min
Design Experiment for Vision AlgorithmHard

Tests experimental design rigor, baselines, ablations, and statistical considerations.

AUC-ROCAccuracyThreshold TuningMeta
Evaluate Vision Model PerformanceMedium

Tests metric selection, validation strategy, and error analysis for vision tasks.

PrecisionAccuracyRecallMeta
The finish line: interview-readyComplete all 49 questions to finish this plan.