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Updated weekly · Last refresh Oct 17

Anthropic Research Scientist Interview Questions

The questions to prepare for a Anthropic Research Scientist interview. Questions from real interview reports rank first. Updated daily.

45questions
~7htotal time
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1
CodingStart here. 12 questions · ~113 min
Mini Package Manager SimulationMedium
Practice

Return a deterministic topological installation order for requested packages using DFS cycle detection.

pythonAnthropic
Merge Overlapping IntervalsMedium
Practice

Sort intervals by start time, then merge overlapping ranges into a minimal non-overlapping list.

ArraysSearchingSortingAnthropic
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2
NLP3 questions · ~28 min
Staying Current in AIEasy

Explain a practical system for keeping up with new AI research, models, and engineering trends.

Language ModelsDeep LearningTokenizationAnthropic
Stay Current on AI AdvancesEasy

Explain how you track new AI research, separate signal from noise, and decide what is worth testing.

Language ModelsDeep LearningTokenizationAnthropic
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3
Statistics & Probability4 questions · ~38 min
Describing a Completed ExperimentEasy

Explain a past experiment with clear hypotheses, metrics, analysis, and outcome interpretation.

ExperimentationHypothesis TestingA/B TestingAnthropic
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4
Machine Learning15 questions · ~141 min
Machine Learning Model OptimizationMedium

Explain practical model optimization techniques, including tuning, regularization, and validation, using a concrete supervised learning example.

Feature EngineeringDeep LearningSupervised LearningAnthropic
Supervised vs Unsupervised LearningEasy
Recently asked

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffAnthropic
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5
Behavioral & Leadership10 questions · ~94 min
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6
More topics1 question · ~9 min
Validate a Model With Cross-ValidationMedium

Explain how to use cross-validation to validate a model and judge whether the result is stable enough to trust.

Hyperparameter TuningCross-ValidationBias-Variance TradeoffAnthropic
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