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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
New
Eng Behavioral
TPM
Solutions Architect
UX / Product Design
BizOps & Strategy
SQL Interviews
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Questions
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Product Management
Behavioral Questions
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System Design
SQL Questions
Machine Learning
Data Analytics
Data Engineering
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Practice
Coaching
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.
Partners
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.
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Members-only articles, videos, and interviews.
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Courses
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
Questions
Product Management
Behavioral Questions
Coding Questions
System Design
SQL Questions
Machine Learning
Data Analytics
Data Engineering
Browse all questions
Practice
Coaching
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.
Partners
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
More
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.
Sign up
Log in
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
Overview
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
Mock Interviews & Practice Questions
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
Overview
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
Model & Algorithm Fundamentals
Linear Regression
Logistic Regression
Decision Trees
Linear SVM
K Nearest Neighbors
Neural Network
K-Means Clustering
Density-Based Spatial Clustering (DBSCAN)
Supervised Model Evaluation
Mock Interviews
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
Overview
Introduction to ML Coding Interviews
How to Answer ML Coding Interview Questions
Rubric for ML Coding Interviews
Mock Interviews & Practice Questions
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
Overview
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
Fast Track
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
Time & Space Complexity
Understanding Big O Notation
Analyzing Time Complexity
Analyzing Space Complexity
Optimizing Your Algorithms
Coding Patterns
Introduction to Coding Patterns
Two Pointer
Prefix Sum
Tortoise & Hare
Sliding Window
Two Pass
Bit Manipulation
Cyclic Sort
Arrays
Arrays
Move Zeros to End of Array
Three Sum
Merge Intervals
Group Anagrams
Product of Array Except Self
Copy a Spiral Matrix
Maximum Subarray Sum
Container with Most Water
Task Scheduler
Trap Rain Water
Contiguous Subarray Sum
Hash Tables
Hash Tables
Maximum Profit
Difference of Arrays
Smallest Missing Integer
Two Sum
Boggle Board
Searching & Sorting
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
String Manipulation
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
Graphs
Graph Search
Degrees of Friendship
Sentence Similarity
Number of Islands
Rotting Oranges
Course Schedule
Edit Distance
Redundant Connection
Trees
Trees
Balanced Tree
Diameter of a Tree
Validate Binary Search Tree
Construct Binary Tree
Implement Trie
Lowest Common Ancestor of a Binary Tree
Find Largest Smaller BST Key
BST Successor Search
Stacks & Queues
Stacks
Queues
Min Stack
Reverse a Sentence
Valid Parentheses
Daily Temperatures
Shortest Cell Path
Conversion Ratios
Linked Lists
Linked Lists
Reverse Linked List
Linked List Cycle
Merge Sort Doubly Linked List
Merge Linked Lists
LRU Cache
Heaps
Heaps
Find Largest Numbers
Buy and Sell Stock
Find Median from Data Stream
Recursion & Backtracking
Recursion
Fibonacci Numbers
Generate Parentheses
Subsets
Sales Path
Flatten a Dictionary
Build a Calculator
Permutations
Combination Sum
Implement Promise.all()
Sudoku Solver
Build a Basic Regex Parser
Dynamic Programming
Dynamic Programming
Climbing Stairs
Prime Numbers
Knapsack Problem
List the Difference Between Two Strings
Target Sum
Coin Change
Partition Equal Subset Sum
DNA Sequence
Unique Paths
Behavioral Interviews: A Practical Guide for Engineers
Fast Track (Start Here)
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)
Theory
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
Tactics
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
Mock Interviews & Analyses
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
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
Overview
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
Mock Interviews & Practice Questions
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
Overview
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
Model & Algorithm Fundamentals
Linear Regression
Logistic Regression
Decision Trees
Linear SVM
K Nearest Neighbors
Neural Network
K-Means Clustering
Density-Based Spatial Clustering (DBSCAN)
Supervised Model Evaluation
Mock Interviews
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
Overview
Introduction to ML Coding Interviews
How to Answer ML Coding Interview Questions
Rubric for ML Coding Interviews
Mock Interviews & Practice Questions
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
Overview
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
Fast Track
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
Time & Space Complexity
Understanding Big O Notation
Analyzing Time Complexity
Analyzing Space Complexity
Optimizing Your Algorithms
Coding Patterns
Introduction to Coding Patterns
Two Pointer
Prefix Sum
Tortoise & Hare
Sliding Window
Two Pass
Bit Manipulation
Cyclic Sort
Arrays
Arrays
Move Zeros to End of Array
Three Sum
Merge Intervals
Group Anagrams
Product of Array Except Self
Copy a Spiral Matrix
Maximum Subarray Sum
Container with Most Water
Task Scheduler
Trap Rain Water
Contiguous Subarray Sum
Hash Tables
Hash Tables
Maximum Profit
Difference of Arrays
Smallest Missing Integer
Two Sum
Boggle Board
Searching & Sorting
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
String Manipulation
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
Graphs
Graph Search
Degrees of Friendship
Sentence Similarity
Number of Islands
Rotting Oranges
Course Schedule
Edit Distance
Redundant Connection
Trees
Trees
Balanced Tree
Diameter of a Tree
Validate Binary Search Tree
Construct Binary Tree
Implement Trie
Lowest Common Ancestor of a Binary Tree
Find Largest Smaller BST Key
BST Successor Search
Stacks & Queues
Stacks
Queues
Min Stack
Reverse a Sentence
Valid Parentheses
Daily Temperatures
Shortest Cell Path
Conversion Ratios
Linked Lists
Linked Lists
Reverse Linked List
Linked List Cycle
Merge Sort Doubly Linked List
Merge Linked Lists
LRU Cache
Heaps
Heaps
Find Largest Numbers
Buy and Sell Stock
Find Median from Data Stream
Recursion & Backtracking
Recursion
Fibonacci Numbers
Generate Parentheses
Subsets
Sales Path
Flatten a Dictionary
Build a Calculator
Permutations
Combination Sum
Implement Promise.all()
Sudoku Solver
Build a Basic Regex Parser
Dynamic Programming
Dynamic Programming
Climbing Stairs
Prime Numbers
Knapsack Problem
List the Difference Between Two Strings
Target Sum
Coin Change
Partition Equal Subset Sum
DNA Sequence
Unique Paths
Behavioral Interviews: A Practical Guide for Engineers
Fast Track (Start Here)
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)
Theory
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
Tactics
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
Mock Interviews & Analyses
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
Practice Behavioral Interviews
Unlock full course
Courses
Machine Learning Engineer Interview Prep
ML System Design Questions
Mock Interviews & Practice Questions
Design a System to Predict Youtube Ad Conversions
Premium
In this video, Kevin (Machine Learning Engineer, Meta & Amazon) answers the question, "Design a system that will predict which YouTube ads will produce the most conversions."
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