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Updated weekly · Last refresh Oct 17

Canva Machine Learning Engineer Interview Questions

The questions to prepare for a Canva Machine Learning Engineer interview. Questions from real interview reports rank first. Updated daily.

30questions
~5htotal time
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1
CodingStart here. 6 questions · ~56 min
2
Machine Learning7 questions · ~66 min
Implement Classic ML AlgorithmsHard

Implement several foundational machine learning algorithms from scratch, then validate their predictions and training behavior against reference impleme...

model trainingModel EvaluationoptimizationCanva
Train a PCA AlgorithmHard

Train and validate PCA by preprocessing features, selecting components, and measuring variance retention and reconstruction quality.

data preprocessingUnsupervised Learningmodel trainingCanva
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3
System Design3 questions · ~28 min
Bias-Aware Image RetrievalHard

Tests your ability to design bias-aware retrieval and recommendation systems with mitigation strategies.

RetrievalFeature DriftRecommendation SystemsCanva
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4
Behavioral & Leadership8 questions · ~75 min
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5
More topics6 questions · ~56 min
Probability and Statistics QuestionsHard

Explain how to select and apply probability and statistical methods for evaluating ML models and decisions.

Bayesian ReasoningprobabilityMachine LearningCanva
Precision and Recall from Confusion MatrixEasy

Tests your ability to compute core classification metrics correctly and robustly.

Confusion MatrixPrecisionRecallCanva
Ethical ML for GoodMedium

Tests your principles and decision-making for ethical, unbiased ML in a product setting.

Biasuser-centric designCanva
Petabyte Interaction Data ArchitectureHard

Tests your ability to design large-scale data processing pipelines for ML feature generation.

Feature EngineeringBatch ProcessingData ModelingCanva
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