Top 23
Prep plan
Updated weekly · Last refresh Oct 17

Yelp Machine Learning Engineer Interview Questions

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

23questions
~4htotal time
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1
CodingStart here. 7 questions · ~68 min
Bit Manipulation Under ConstraintsMedium
Practice

Find the integer appearing once when every other value appears three times using constant-space bit manipulation.

Bit ManipulationYelp
Basic Coding PracticeEasy

Assesses your baseline coding competence and ability to implement standard logic correctly.

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2
NLP3 questions · ~29 min
Implement Jaccard SimilarityMedium

Assesses your ability to translate an NLP similarity concept into correct, efficient code.

Yelp
N-gram Coding ProblemMedium

Evaluates your ability to implement n-gram extraction and related text processing efficiently.

Yelp
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3
System Design4 questions · ~39 min
Scale Offline to Online MLHard

Evaluates end-to-end ML pipeline scaling from training to serving.

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4
Behavioral & Leadership5 questions · ~48 min
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5
More topics4 questions · ~39 min
Architecture and Modeling ChoicesHard

Assesses depth of ML system design and justification of modeling decisions.

architectureYelp
Scale Data Pipelines or TrainingMedium

Tests performance engineering skills for data pipelines and training efficiency.

data pipelinescalingYelp
Offline vs Online ValidationMedium

Assesses evaluation methodology and ability to explain offline-online gaps.

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The finish line: interview-readyComplete all 23 questions to finish this plan.