Microsoft Machine Learning Engineer Interview Questions
Practice the exact questions companies are asking right now.
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How do you choose a model?
You are building machine learning features for a spreadsheet assistant. Explain how you would choose an appropriate model for a new problem. In your a...
Clean OCR data and build an LLM dataset
Problem: OCR data practice (cleaning → LLM-ready data) You are given an OCR dataset intended to train or fine-tune an LLM to improve OCR text quality....
Calibrate LLM output to match Word formatting
Scenario You’re building an LLM-powered feature in a word processor (e.g., Microsoft Word) that generates content users can insert directly into a doc...
Design quality checks for spreadsheet LLM data
You are given a dataset for a spreadsheet assistant. Each example contains: 1. a natural-language prompt, 2. an Excel-style table or worksheet represe...
Implement a resumable data loader
Problem: Resumable DataLoader You are implementing a mini data-loading component for model training. Design a ResumableDataLoader that iterates over a...
Design chat and online chess
Design two large-scale consumer systems: 1. A workplace messaging platform similar to Slack. It should support organizations, channels, direct message...
Detect stop tokens during streaming inference
Problem: Stop-token / stop-sequence detection in streaming generation During LLM inference you receive tokens incrementally (streaming). Implement log...
Compare preference alignment methods for LLMs
Question You’re asked to discuss preference alignment approaches for large language models. Task Compare several alignment methods and explain when yo...
Optimize vector semantic search for an assistant
Scenario You own the vector semantic search layer for an AI assistant (e.g., Copilot). Users query across enterprise documents and/or product knowledg...
Explain Transformers and deploy an LLM safely
Answer the following LLM-focused questions. 1) Transformer basics - What problem does the Transformer architecture solve compared with RNNs? - Explain...
Find pairs with the minimum absolute difference
Given an integer array (not necessarily sorted), find the minimum absolute difference between any two distinct elements. Return all pairs of values th...
Design a RAG system with agentic tools
Design a Retrieval-Augmented Generation (RAG) question-answering system for an enterprise knowledge base. Requirements: - Users ask natural-language q...
Explain metrics, regularization, and ablation studies
You are interviewing for an Applied Scientist role. 1) For a binary classification problem, explain the following and when you would use each: - Preci...
Implement K-means clustering from scratch
Task: Implement K-means clustering (from scratch) Write a function to perform K-means clustering on a set of points. Input - A dataset X with shape (n...
Explain bias-variance and evaluate a classifier
You are interviewing for an Applied Scientist internship. Answer the following ML foundations questions. 1) Bias–variance - Define bias and variance i...
Design a video VLM end-to-end
Prompt: Design a video vision-language model (VLM) from scratch You are asked to design an end-to-end system to build a video vision-language model th...
Infer user intent from typing in real time
Scenario You’re building an AI feature that observes a user’s typing stream in an editor/search box and predicts the user’s intent in real time. This ...
Design a RAG-based assistant service
Scenario You need to build a Retrieval-Augmented Generation (RAG) assistant for an enterprise product. It should answer questions using internal docum...
Compute precision/recall from a flaky top-k API
You have 10 image files. Each file has a ground-truth label indicating whether it contains a dog. You can call an API like searchDogs(k) which is inte...
Describe motivation, ownership, and conflict
Expect behavioral and culture-fit questions such as: - Why do you want this role or company? - Tell me about a time you showed ownership without being...