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Prep plan
Updated weekly · Last refresh Oct 17

Basis Research Institute AI Engineer Interview Questions

The questions to prepare for a Basis Research Institute AI Engineer interview. Questions from real interview reports rank first. Updated daily.

32questions
~4htotal time
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1
Model EvaluationStart here. 3 questions · ~24 min
Model Performance EvaluationHard

Explain how to select metrics, validate predictions, and analyze errors when evaluating a machine learning model.

model performanceevaluation metricsPrecisionBasis Research Institute
Diagnose Underperforming ModelMedium

Diagnose why a model is underperforming and decide whether the issue is thresholding, class balance, or a deeper data problem.

Hyperparameter TuningCross-ValidationBias-Variance TradeoffBasis Research Institute
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2
Generative AI & LLMs7 questions · ~56 min
Investigate Poor LLM Answer QualityMedium

Diagnose why a customer-facing LLM assistant is underperforming, using eval-first debugging across retrieval, prompting, safety, latency, and cost.

HallucinationPrompt EngineeringLLM EvaluationBasis Research Institute
Choose Between RAG and Fine-TuningEasy

Compare RAG and fine-tuning, and decide when each is the better fit for an LLM product.

Basis Research Institute
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3
Machine Learning5 questions · ~40 min
Reducing Overfitting in ML ModelsMedium

Explain how to diagnose and reduce overfitting using regularization, cross-validation, and model selection.

Cross-ValidationBias-Variance TradeoffRegularizationBasis Research Institute
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4
System Design6 questions · ~48 min
Design a Personalized Recommendation RankerHard

Design a personalized recommendation system that turns user preferences into ranked suggestions with retrieval, ranking, and feedback loops.

RetrievalTwo-Tower ModelsRecommendation SystemsBasis Research Institute
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5
Behavioral & Leadership7 questions · ~56 min
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6
More topics4 questions · ~32 min
Large Dataset Analysis PipelineEasy

Discuss a large-scale data analysis project with focus on the pipeline, tooling, and data quality approach.

ToolsData ModelingQualityBasis Research Institute
Optimizing for Speed or MemoryMedium

Tests your practical optimization skills and ability to reason about tradeoffs in implementation.

Hash TablesSearchingSortingBasis Research Institute
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The finish line: interview-readyComplete all 32 questions to finish this plan.