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Updated weekly · Last refresh Aug 30

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 weekly.

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~4htotal time
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1
CodingStart here. 5 questions · ~44 min
Implement K-Means in PythonMedium
Practice

Assign Vectra AI network alerts to clusters and update centroids using iterative k-means.

MathArraysGreedyCanva
Pair Coding Under Time PressureEasy

Tests your coding clarity, collaboration habits, and ability to deliver correct code quickly.

time complexitybasicsAlgorithmsCanva
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2
System Design3 questions · ~26 min
LLM Serving and Fine-Tuning PipelineHard

Tests your system design for LLM inference, feedback loops, and efficient fine-tuning at scale.

distributed trainingFeature StoreModel ServingCanva
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3
Machine Learning7 questions · ~61 min
Implement Classic ML AlgorithmsHard

Evaluates your breadth of ML fundamentals through implementation of standard algorithms.

implementationCanva
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4
Behavioral & Leadership9 questions · ~79 min
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5
More topics5 questions · ~44 min
Precision and Recall from Confusion MatrixEasy

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

Confusion MatrixPrecisionRecallCanva
Optimize Large-Scale Text TokenizationMedium

Tests your performance engineering skills for NLP preprocessing at scale.

Data QualitytransformationsETLCanva
Probability and Statistics QuestionsMedium

Evaluates your ability to reason about probability and statistics for ML modeling and evaluation.

probabilityMachine LearningstatisticsCanva
Confusion Matrix and PCA PurposeEasy

Tests your understanding of model evaluation metrics and dimensionality reduction diagnostics.

Confusion MatrixModel MetricsCanva
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