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Product Management
Ace product interviews from strategy cases to technical skills.
Engineering Management
Review key leadership and people management skills.
Software Engineering
Learn essential strategies for coding problems and more.
System Design
Define architectures, interfaces, and databases in a time crunch.
Data Science
Execute statistical techniques and experimentation effectively.
Machine Learning
Review building, evaluating, and deploying AI/ML models.
Data Engineering
Design complex data models and ETL pipelines.
Data Analytics
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Translate data into actionable insights and business decisions.

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Generative AI
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Security Engineer
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Eng Behavioral
TPM
Solutions Architect
UX / Product Design
BizOps & Strategy
SQL Interviews

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Product Management
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Practice

Mock Interviews & Coaching
Practice with our team of senior tech coaches.
Resume Review
Get your resume reviewed by a senior tech recruiter.
Salary Negotiation
Increase your offer with our expert negotiators.

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For universities
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Job Referrals
Get job referrals to top tech companies.
Company Guides
Get an inside look at top companies’ interview processes.
Interview Experiences
View real interview experiences at the hottest companies.
Blog
Check out our blog on tech interviewing tips, strategies, and more.
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Members-only articles, videos, and interviews.
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Product Management
Ace product interviews from strategy cases to technical skills.
Engineering Management
Review key leadership and people management skills.
Software Engineering
Learn essential strategies for coding problems and more.
System Design
Define architectures, interfaces, and databases in a time crunch.
Data Science
Execute statistical techniques and experimentation effectively.
Machine Learning
Review building, evaluating, and deploying AI/ML models.
Data Engineering
Design complex data models and ETL pipelines.
Data Analytics
New
Translate data into actionable insights and business decisions.

View all courses

Product Management
Behavioral Questions
Coding Questions
System Design
SQL Questions
Machine Learning
Data Analytics
Data Engineering

Browse all questions

Practice

Mock Interviews & Coaching
Practice with our team of senior tech coaches.
Resume Review
Get your resume reviewed by a senior tech recruiter.
Salary Negotiation
Increase your offer with our expert negotiators.

For universities
Give your students tech interview prep.
For businesses
Improve your placement rates, outcomes, and more.
For recruiters
Post a job on Exponent's exclusive job board.
Affiliate program
Recommend us to others and earn commission.
Work with us
Help us grow the Exponent community.

Pricing

Job Referrals
Get job referrals to top tech companies.
Company Guides
Get an inside look at top companies’ interview processes.
Interview Experiences
View real interview experiences at the hottest companies.
Blog
Check out our blog on tech interviewing tips, strategies, and more.
Resources
Members-only articles, videos, and interviews.
Work with us
Help us grow the Exponent community.
Perks
Access exclusive member benefits.

Machine Learning Engineer Interview Prep

ML Engineer Introduction

Welcome to Exponent's ML Engineer Interview Course!The ML Engineer Interview Loop

ML System Design Questions

Introduction to the ML System Design Interview How to Answer ML System Design Questions Rubric for ML System Design Interviews Designing a Data Processing Pipeline Selecting a Model for ML Systems Evaluating a Model for ML Systems Deploying an ML Model

Design an Instagram Ranking Model Deploy and Monitor an Instagram Ranking Model

Design a Spotify Recommendation System Design Evaluation Framework for Ads Ranking System Design a System to Predict Netflix Watch Times Train a Model to Detect Bots Design a Landmark Recognition System Design a System to Predict Youtube Ad Conversions Design an ETA System for a Maps App Design an App Suggestion System for Phones Build Fraud Detection Model Build Recommendation System for Online Courses

ML Concepts Questions

Introduction to ML Concepts Interviews How to Answer ML Data Handling Questions How to Answer ML Model Questions How to Answer ML Evaluation Questions How to Answer ML Production Questions Rubric for ML Concepts Interviews ML Interviews Glossary

Linear Regression Logistic Regression Decision Trees Linear SVM K Nearest Neighbors Neural Network K-Means Clustering Density-Based Spatial Clustering (DBSCAN)Supervised Model Evaluation

Describe Linear Regression Explain the Bias-Variance Tradeoff Explain “Training" and “Testing” Data Discuss Batch, Mini-Batch, Stochastic Gradient Descent Explain Feature Scaling and Normalization Explain Classification vs Regression Identify When Model Needs Refresh Handle an Exploding Gradient Select The Value of K in the K-Means Algorithm

ML Coding Questions

Introduction to ML Coding Interviews How to Answer ML Coding Interview Questions Rubric for ML Coding Interviews

Implement the KNN Algorithm

Implement K-Means Clustering

Optimal Value of K in K-Means Implement a 2D Convolutional Filter

Predict User App Deletion

Predict Harmful Text

Split Dataset for Training, Evaluation, Testing

Software Engineering Coding Questions

Tips for Acing Technical Coding Interviews Choosing the Right Language for Your Technical Interview

Practice: Move Zeros to End of Array

Practice: Remove Duplicates in String

Practice: Contiguous Subarray Sum

How to Prep for a Coding Interview Fast

Arrays, Two Pointers, Stacks, and Sliding Window

Binary Search, Heaps, and Intervals

Linked Lists, Trees, and Tries

Backtracking, Graphs, and DP

How to Answer Any Coding Interview Question

Understanding Big O Notation Analyzing Time Complexity Analyzing Space Complexity Optimizing Your Algorithms

Introduction to Coding Patterns

Two Pointer Prefix Sum Tortoise & Hare Sliding Window Two Pass Bit Manipulation Cyclic Sort

Move Zeros to End of Array

Merge Intervals

Product of Array Except Self

Copy a Spiral Matrix

Maximum Subarray Sum

Container with Most Water

Trap Rain Water

Contiguous Subarray Sum

Difference of Arrays

Smallest Missing Integer

Sorting Algorithms Binary Search Number Finder

Find the Duplicates

K-Messed Array Sort

Rotations in Circularly Sorted Array

Koko Eating Bananas

Find the Peak Element

Most Common Words

Valid Palindrome

Validate IP Address

Decrypt Message

Minimum Window Substring

Serialize and Deserialize Strings

Longest Substring Without Repeat

Remove Duplicates in String

Longest Palindromic Substring

Graphs Graph Search

Degrees of Friendship

Sentence Similarity

Number of Islands

Rotting Oranges

Course Schedule

Redundant Connection

Trees Balanced Tree

Diameter of a Tree

Validate Binary Search Tree

Construct Binary Tree

Lowest Common Ancestor of a Binary Tree

Find Largest Smaller BST Key

BST Successor Search

Stacks Queues Min Stack

Reverse a Sentence

Valid Parentheses

Daily Temperatures

Shortest Cell Path

Conversion Ratios

Linked Lists Reverse Linked List

Linked List Cycle

Merge Sort Doubly Linked List

Merge Linked Lists

Heaps Find Largest Numbers

Buy and Sell Stock

Find Median from Data Stream

Recursion Fibonacci Numbers

Generate Parentheses

Flatten a Dictionary

Build a Calculator

Combination Sum

Implement Promise.all()

Build a Basic Regex Parser

Dynamic Programming Climbing Stairs

Knapsack Problem

List the Difference Between Two Strings

Partition Equal Subset Sum

Behavioral Interviews: A Practical Guide for Engineers

Welcome to Behavioral Interviewing for Engineers

Introduction to Engineering Behavioral Interviews Avoiding Downleveling Approaching the 3 Question Types Elevating Your Past Projects Habits of High-Performing Candidates Be Seen as a Senior Engineer (Part 1: Mock Interview)Be Seen as a Senior Engineer (Part 2: Analysis)

Why Engineers Fail Interviews The Question Beneath the Question Measuring Culture Fit Demonstrating Impact Introducing Yourself: Do's and Don'ts "Why Our Company?"Prevent Instant Rejection

Know the Rules So You Can Break Them Types of Interviewers Sharing the Optimal Level of Detail

Stop Sounding Like a Robot

Reversing a Downlevel Offer

Be Seen as a Staff+ Engineer (Part 1)Be Seen as a Staff+ Engineer (Part 2: Analysis)Demonstrating Ownership (Part 1)Demonstrating Ownership (Part 2: Analysis)Do You Meet the Senior+ Bar? (Part 1)Do You Meet the Senior+ Bar? (Part 2: Analysis)

Practice Behavioral Interviews

Unlock full course

Machine Learning Engineer Interview Prep

ML Engineer Introduction

Welcome to Exponent's ML Engineer Interview Course!The ML Engineer Interview Loop

ML System Design Questions

Introduction to the ML System Design Interview How to Answer ML System Design Questions Rubric for ML System Design Interviews Designing a Data Processing Pipeline Selecting a Model for ML Systems Evaluating a Model for ML Systems Deploying an ML Model

Design an Instagram Ranking Model Deploy and Monitor an Instagram Ranking Model

Design a Spotify Recommendation System Design Evaluation Framework for Ads Ranking System Design a System to Predict Netflix Watch Times Train a Model to Detect Bots Design a Landmark Recognition System Design a System to Predict Youtube Ad Conversions Design an ETA System for a Maps App Design an App Suggestion System for Phones Build Fraud Detection Model Build Recommendation System for Online Courses

ML Concepts Questions

Introduction to ML Concepts Interviews How to Answer ML Data Handling Questions How to Answer ML Model Questions How to Answer ML Evaluation Questions How to Answer ML Production Questions Rubric for ML Concepts Interviews ML Interviews Glossary

Linear Regression Logistic Regression Decision Trees Linear SVM K Nearest Neighbors Neural Network K-Means Clustering Density-Based Spatial Clustering (DBSCAN)Supervised Model Evaluation

Describe Linear Regression Explain the Bias-Variance Tradeoff Explain “Training" and “Testing” Data Discuss Batch, Mini-Batch, Stochastic Gradient Descent Explain Feature Scaling and Normalization Explain Classification vs Regression Identify When Model Needs Refresh Handle an Exploding Gradient Select The Value of K in the K-Means Algorithm

ML Coding Questions

Introduction to ML Coding Interviews How to Answer ML Coding Interview Questions Rubric for ML Coding Interviews

Implement the KNN Algorithm

Implement K-Means Clustering

Optimal Value of K in K-Means Implement a 2D Convolutional Filter

Predict User App Deletion

Predict Harmful Text

Split Dataset for Training, Evaluation, Testing

Software Engineering Coding Questions

Tips for Acing Technical Coding Interviews Choosing the Right Language for Your Technical Interview

Practice: Move Zeros to End of Array

Practice: Remove Duplicates in String

Practice: Contiguous Subarray Sum

How to Prep for a Coding Interview Fast

Arrays, Two Pointers, Stacks, and Sliding Window

Binary Search, Heaps, and Intervals

Linked Lists, Trees, and Tries

Backtracking, Graphs, and DP

How to Answer Any Coding Interview Question

Understanding Big O Notation Analyzing Time Complexity Analyzing Space Complexity Optimizing Your Algorithms

Introduction to Coding Patterns

Two Pointer Prefix Sum Tortoise & Hare Sliding Window Two Pass Bit Manipulation Cyclic Sort

Move Zeros to End of Array

Merge Intervals

Product of Array Except Self

Copy a Spiral Matrix

Maximum Subarray Sum

Container with Most Water

Trap Rain Water

Contiguous Subarray Sum

Difference of Arrays

Smallest Missing Integer

Sorting Algorithms Binary Search Number Finder

Find the Duplicates

K-Messed Array Sort

Rotations in Circularly Sorted Array

Koko Eating Bananas

Find the Peak Element

Most Common Words

Valid Palindrome

Validate IP Address

Decrypt Message

Minimum Window Substring

Serialize and Deserialize Strings

Longest Substring Without Repeat

Remove Duplicates in String

Longest Palindromic Substring

Graphs Graph Search

Degrees of Friendship

Sentence Similarity

Number of Islands

Rotting Oranges

Course Schedule

Redundant Connection

Trees Balanced Tree

Diameter of a Tree

Validate Binary Search Tree

Construct Binary Tree

Lowest Common Ancestor of a Binary Tree

Find Largest Smaller BST Key

BST Successor Search

Stacks Queues Min Stack

Reverse a Sentence

Valid Parentheses

Daily Temperatures

Shortest Cell Path

Conversion Ratios

Linked Lists Reverse Linked List

Linked List Cycle

Merge Sort Doubly Linked List

Merge Linked Lists

Heaps Find Largest Numbers

Buy and Sell Stock

Find Median from Data Stream

Recursion Fibonacci Numbers

Generate Parentheses

Flatten a Dictionary

Build a Calculator

Combination Sum

Implement Promise.all()

Build a Basic Regex Parser

Dynamic Programming Climbing Stairs

Knapsack Problem

List the Difference Between Two Strings

Partition Equal Subset Sum

Behavioral Interviews: A Practical Guide for Engineers

Welcome to Behavioral Interviewing for Engineers

Introduction to Engineering Behavioral Interviews Avoiding Downleveling Approaching the 3 Question Types Elevating Your Past Projects Habits of High-Performing Candidates Be Seen as a Senior Engineer (Part 1: Mock Interview)Be Seen as a Senior Engineer (Part 2: Analysis)

Why Engineers Fail Interviews The Question Beneath the Question Measuring Culture Fit Demonstrating Impact Introducing Yourself: Do's and Don'ts "Why Our Company?"Prevent Instant Rejection

Know the Rules So You Can Break Them Types of Interviewers Sharing the Optimal Level of Detail

Stop Sounding Like a Robot

Reversing a Downlevel Offer

Be Seen as a Staff+ Engineer (Part 1)Be Seen as a Staff+ Engineer (Part 2: Analysis)Demonstrating Ownership (Part 1)Demonstrating Ownership (Part 2: Analysis)Do You Meet the Senior+ Bar? (Part 1)Do You Meet the Senior+ Bar? (Part 2: Analysis)

Practice Behavioral Interviews

Unlock full course

Courses
Machine Learning Engineer Interview Prep
ML System Design Questions
Mock Interviews & Practice Questions

Design a Landmark Recognition System

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