Top 41
Prep plan
Updated weekly · Last refresh Oct 17

LinkedIn Machine Learning Engineer Interview Questions

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

41questions
~6htotal time
Track your progressSign up free to work through all 41 questions and resume where you left off.
Start practicing free →
1
CodingStart here. 7 questions · ~62 min
Weighted Random SelectionMedium
Practice
Recently asked

Generate repeated weighted picks using prefix sums and binary search in O(n + k log n) time.

AlgorithmsLinkedIn
Merge Overlapping IntervalsMedium
Practice
Recently asked

Sort intervals by start time, then merge overlapping ranges into a minimal non-overlapping list.

ArraysSearchingSortingLinkedIn
More Coding questions with a free account
2
Machine Learning11 questions · ~98 min
Transformers and AttentionHard
Recently asked

Explain transformer architecture, including self-attention, positional encoding, training objectives, and practical tradeoffs.

model selectionmodel architecturetransformersLinkedIn
ML Project Deep DiveMedium
Recently asked

Explain an ML project, including model selection, feature engineering, validation, evaluation, and production tradeoffs.

model selectionexperienceFeature EngineeringLinkedIn
More Machine Learning questions with a free account

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan
3
System Design5 questions · ~45 min
Design a LinkedIn RecommenderHard
Recently asked

Evaluates ability to tailor recommender system design to LinkedIn product goals and metrics.

LinkedIn
More System Design questions with a free account
4
Behavioral & Leadership14 questions · ~125 min
More Behavioral & Leadership questions with a free account
5
More topics4 questions · ~36 min
Transformer Knowledge for NLPMedium
Recently asked

Evaluates knowledge of Transformer architectures and their use in NLP.

transformersNLPLinkedIn
Probability BasicsEasy
Recently asked

Tests probability intuition relevant to ML modeling and evaluation.

probabilitystatisticsLinkedIn
Pipeline Stage for Missing ValuesMedium
Recently asked

Tests data preprocessing design and robustness for ML training and serving.

Data QualitymonitoringtransformationsLinkedIn
More questions with a free account
The finish line: interview-readyComplete all 41 questions to finish this plan.