Top 48
Prep plan
Updated weekly · Last refresh Oct 17

Microsoft Research Scientist Interview Questions

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

48questions
~10htotal time
Track your progressSign up free to work through all 48 questions and resume where you left off.
Start practicing free →
1
CodingStart here. 17 questions · ~210 min
K-Means in PythonHard
Practice

Implement deterministic K-means clustering by repeatedly assigning points and recomputing centroids.

Basic AlgorithmsArraysAlgorithmsMicrosoft
Python List and Dict InternalsHard
Practice

Implement dynamic-array list operations and open-addressing dictionary operations to model Python's core data structures.

CodingArraysData StructuresMicrosoft
More Coding questions with a free account
2
Machine Learning12 questions · ~148 min
LoRA, QLoRA, and PEFT ChoiceHard

Compare parameter-efficient fine-tuning methods and select LoRA, QLoRA, or another PEFT technique under deployment constraints.

Hyperparameter Tuningmodel selectionRegularizationMicrosoft
More Machine Learning questions with a free account
3
System Design5 questions · ~62 min
Latency vs Model ComplexityHard

Explain how to trade off model complexity, prediction quality, inference cost, and production latency.

latencyproduction environmentinference latencyMicrosoft
More System Design questions with a free account
4
NLP8 questions · ~99 min
Compare Positional Encodings in TransformersMedium

Implement and compare sinusoidal vs learned positional encodings in a Transformer for legal clause classification where word order changes meaning.

Language ModelsDeep LearningTokenizationMicrosoft
More NLP questions with a free account
5
More topics6 questions · ~74 min
Multimodal Recommender With LLMsHard

Design an evaluated recommender that combines computer vision, multimodal LLM reasoning, retrieval, and safe personalized ranking.

model comparisonllmLLM EvaluationMicrosoft
Evaluate a New ML Feature Before LaunchMedium

Assess whether a new ML feature should launch using offline metrics, online tests, and guardrails.

PrecisionAccuracyRecallMicrosoft
Explain Python Data Structures Under the HoodMedium

Evaluates understanding of Python core data structures and their performance characteristics.

time complexityData StructuresMicrosoft
More 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
The finish line: interview-readyComplete all 48 questions to finish this plan.