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Apple Research Engineer Interview Questions

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

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1
Machine LearningStart here. 12 questions · ~103 min
Computer Vision Project ImpactMedium

Describe a computer vision project, the model and data choices you made, and the measurable impact of the work.

Feature EngineeringDeep LearningSupervised LearningApple
Advances in Facial RecognitionMedium

Discuss recent facial recognition advances through modern deep models, evaluation methods, and fairness considerations.

Feature EngineeringDeep LearningSupervised LearningApple
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2
System Design4 questions · ~34 min
Deploy an On-Device Mobile ModelMedium

Design deployment for an on-device mobile ML model, including serving, updates, evaluation, and monitoring across heterogeneous devices.

InfrastructureFeature StoreModel ServingApple
Design On-Device Model OptimizationMedium

Design an on-device ML optimization system that balances model quality, latency, memory, power, and rollout safety on mobile hardware.

InfrastructureFeature StoreModel ServingApple
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3
Model Evaluation3 questions · ~26 min
Approach to Underperforming ModelsMedium

Structured approach for diagnosing an underperforming model and deciding whether to fix data, thresholding, calibration, or the model.

PrecisionAccuracyRecallApple
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4
Pipelines4 questions · ~34 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityApple
Deduplicating Streamed DataMedium

Assesses your approach to handling duplicates in streaming pipelines while maintaining correctness and efficiency.

streamingApple
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5
Behavioral & Leadership8 questions · ~69 min
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6
More topics2 questions · ~17 min
Implement LoRA for ML ModelsHard
Practice

Implement LoRA's low-rank weight update for batched linear layers using explicit matrix operations.

backpropagationArraysApple
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