Top 17
Prep plan
Updated weekly · Last refresh Aug 30

Decagon Research Engineer Interview Questions

The questions to prepare for a Decagon Research Engineer interview. Questions from real interview reports rank first. Updated weekly.

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1
Machine LearningStart here. 3 questions · ~24 min
PEFT vs Full Fine-Tuning Trade-offsMedium

Tests your understanding of fine-tuning approaches and how to choose between them.

Regularizationmodel trainingoptimizationDecagon
Preventing Catastrophic ForgettingHard

Tests your ability to apply methods that preserve knowledge during domain adaptation.

Regularizationmodel trainingDecagon
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2
System Design6 questions · ~48 min
Hybrid Search for Recall and PrecisionHard

Tests your ability to design retrieval systems that balance relevance and coverage.

ML RankingRetrievalRecommendation SystemsDecagon
Scalable Serving for Traffic SpikesHard

Tests your ability to design resilient, scalable inference serving under bursty load.

distributed trainingFeature StoreModel ServingDecagon
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3
Behavioral & Leadership3 questions · ~24 min
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4
More topics5 questions · ~40 min
Dataset Curation for Instruction TuningHard

Tests your ability to build robust data pipelines for high-quality instruction tuning.

Data Qualitydata integrationAutomationDecagon
Minimizing Retrieval Latency OverheadMedium

Tests your ability to measure and optimize end-to-end retrieval latency.

Evaluation TechniqueslatencyModel MetricsDecagon
Chunking and Metadata OptimizationMedium

Tests your ability to improve retrieval quality through document preprocessing choices.

Text ClassificationNLPTokenizationDecagon
Debugging Silent ML Quality DegradationHard

Tests your skills in diagnosing non-obvious ML regressions using observability and testing.

Data QualitymonitoringobservabilityDecagon
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