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Updated weekly · Last refresh Aug 30

AKUNA CAPITAL Machine Learning Engineer Interview Questions

The questions to prepare for a AKUNA CAPITAL Machine Learning Engineer interview. Questions from real interview reports rank first. Updated weekly.

50questions
~7htotal time
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1
CodingStart here. 9 questions · ~78 min
Detect Cycles in Trading DependenciesEasy
Practice

Use DFS coloring to determine whether AKUNA Capital trading dependencies contain a directed cycle.

GraphsAKUNA CAPITAL
Sliding Window Moving AverageEasy
Practice

Calculate every fixed-size moving average for Arista EOS telemetry samples using an O(n) sliding window.

ArraysSliding WindowAKUNA CAPITAL
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2
Pipelines9 questions · ~78 min
3
NLP5 questions · ~43 min
Extract Companies and TickersMedium

Build a finance-focused NER pipeline to extract company names and stock tickers from unstructured text.

Language ModelsNamed Entity RecognitionTokenizationAKUNA CAPITAL
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4
Machine Learning9 questions · ~78 min
Time Series Feature EngineeringMedium

Design lag, rolling, and calendar features for a forecasting problem with temporal dependence.

Feature EngineeringSupervised LearningTime SeriesAKUNA CAPITAL
Handle Highly Imbalanced ClassificationMedium

Build a classifier for a rare-event problem and choose metrics and training tactics that work when positives are scarce.

Cross-ValidationFeature EngineeringSupervised LearningAKUNA CAPITAL
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5
Model Evaluation9 questions · ~78 min
Debug Training to Production GapHard

Approach for debugging a model that looks strong offline but fails after deployment.

Cross-ValidationCalibrationPrecisionAKUNA CAPITAL
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6
Statistics & Probability9 questions · ~78 min
Conditional Probability for Market PredictionMedium

Tests probabilistic reasoning for market prediction and event dependencies.

Bayesian ReasoningExpected ValueConditional ProbabilityAKUNA CAPITAL
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