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Prep plan
Updated weekly · Last refresh Oct 17

LinkedIn AI Engineer Interview Questions

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

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1
CodingStart here. 8 questions · ~73 min
Find Two Sum IndicesEasy
Practice
Recently asked

Use a hash map to find two array elements that sum to a target in O(n) time.

Hash TablesArraysSortingLinkedIn
Reverse a Linked ListEasy
Practice
Recently asked

Reverse a singly linked list in place using pointer manipulation.

RecursionLinked ListsLinkedIn
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2
System Design14 questions · ~128 min
Design a Personalized Notification RankerMedium
Recently asked

Design a personalized notification system that selects, ranks, and delivers the right pushes while controlling spam and latency.

class structurenotification systemscalabilityLinkedIn
Design a Resident Recommendations SystemMedium
Recently asked

Design a recommendation and ranking system for a property management platform that personalizes listings and workflow suggestions.

Feature StoreRetrievalModel ServingLinkedIn
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3
Generative AI & LLMs10 questions · ~91 min
Fix Hallucinations in RAG AnswersEasy
Recently asked

Reduce hallucinations in a RAG system even when retrieval is already correct, using grounding, verification, and evaluation.

LinkedIn
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4
Model Evaluation4 questions · ~37 min
Common Model Evaluation MetricsEasy
Recently asked

Explain common machine learning evaluation metrics and when each is useful.

PrecisionAccuracyRecallLinkedIn
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5
Machine Learning8 questions · ~73 min
Handling Missing Values in MLEasy
Recently asked

Explain practical strategies for handling missing values in a supervised learning workflow, from diagnosis to modeling and validation.

Cross-ValidationFeature EngineeringRegularizationLinkedIn
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6
Behavioral & Leadership4 questions · ~37 min
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7
More topics2 questions · ~18 min
Data Quality in ML PipelinesMedium
Recently asked

Practical approach for maintaining data quality across ML ETL pipelines, orchestration, and repeatable data processing.

Data QualityETLData ModelingLinkedIn
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