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Arsiem Interview Questions

The questions to prepare for Arsiem interviews, across all roles. Questions from real interview reports rank first. Updated weekly.

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1
CodingStart here. 11 questions · ~101 min
2
Machine Learning9 questions · ~82 min
Supervised vs Unsupervised LearningEasy

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

Unsupervised LearningFeature EngineeringBias-Variance TradeoffArsiem
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3
Product Sense3 questions · ~27 min
Approach a User Research ProjectEasy

A structured approach to planning and running a user research project that identifies user needs and drives product decisions.

User ResearchUser NeedsPain PointsArsiem
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4
Execution9 questions · ~82 min
Prioritize Work for a Product TeamEasy

Decide what work to do now, later, or never when roadmap pressure exceeds team capacity.

Trade-offsRoadmappingPrioritizationArsiem
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5
System Design4 questions · ~37 min
Design an LLM Serving PlatformHard

Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.

Cold StartFeature StoreModel ServingArsiem
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6
Generative AI & LLMs3 questions · ~27 min
Evaluate an LLM SystemMedium

Explain how to evaluate a generative model using offline and online methods, with attention to hallucination, product metrics, and experiment design.

HallucinationPrompt EngineeringLLM EvaluationArsiem
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7
More topics11 questions · ~101 min
Investigate User Engagement DeclineMedium

Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.

RetentionDiagnosisEngagement MetricsArsiem
Choosing Classification Evaluation MetricsEasy

Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.

PrecisionAccuracyRecallArsiem
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The finish line: interview-readyComplete all 50 questions to finish this plan.