Top 38
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Updated weekly · Last refresh Oct 17

Scale Machine Learning Engineer Interview Questions

The questions to prepare for a Scale Machine Learning Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
Machine LearningStart here. 12 questions · ~103 min
CNNs vs Transformers for VisionMedium

Compare CNN and Transformer architectures for vision, and explain when each is the better model choice.

Neural NetworksFeature EngineeringDeep LearningScale
Data Manipulation for Computer VisionMedium

Evaluates your ability to prepare and transform CV data for training and evaluation.

Data ManipulationScale
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2
Coding11 questions · ~94 min
Debug LLM Fine-Tuning CodeHard

Evaluates your LLM fine-tuning troubleshooting approach across data, training setup, and code paths.

DebuggingllmScale
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3
System Design4 questions · ~34 min
Task State Machine SchemaMedium

Tests system design ability to model task states and transitions for Scale pipelines.

database designScale
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4
Behavioral & Leadership6 questions · ~51 min
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5
More topics5 questions · ~43 min
RAG and LLM Pipeline DesignHard

Assesses your ability to architect RAG and ML pipelines for production use at Scale.

Scale
Tokenizers and BPEMedium

Tests your understanding of tokenization mechanics and BPE algorithm intuition.

TokenizationScale
Probability Distributions From Order StatisticsHard

Evaluates knowledge of order statistics and your ability to infer and fit probability distributions.

Scale
Masked Autoencoders Paper WalkthroughMedium

Tests ability to explain and reason about modern self-supervised learning architectures and their I/O.

CommunicationresearchScale
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