Decagon Research Scientist Interview Questions
The questions to prepare for a Decagon Research Scientist interview. Questions from real interview reports rank first. Updated daily.
Implement a function that computes classification accuracy by comparing predicted labels with true labels.
DecagonTests your ability to design streaming or near-real-time data pipelines for AI applications.
DecagonExplain how supervised, unsupervised, and reinforcement learning differ in data, objectives, and evaluation.
DecagonExplain why data preprocessing matters, using a concrete supervised learning example with missing values, outliers, and mixed feature types.
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Tests your ability to design end-to-end multi-modal AI systems for production use at Decagon.
DecagonTests your knowledge of production deployment concerns like latency, reliability, monitoring, and cost at Decagon.
DecagonExplain a practical approach to fine-tuning an LLM for a specific task, including data, evaluation, and hallucination risks.
DecagonTests your ability to diagnose model failures, detect drift, and execute mitigation steps.
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