Machine Learning Engineer + Data Scientist + Software Engineer Interview Questions
Practice the exact questions companies are asking right now.

"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"

"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"

"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."

"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."

"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."

"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."

"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."

"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."

"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."

"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."

"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."

"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."

"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Design an ad recommendation ranking approach
This question evaluates competency in machine-learning driven ad ranking and recommendation systems, including objective formulation, modeling strateg...
How do you resolve partner conflict?
Describe a time you worked with cross-functional partners such as Product, Engineering, Design, Marketing, or another business team on an important pr...
Contrast TCP vs UDP; detect loss
Contrast TCP vs UDP; detect loss Contrast TCP and UDP in reliability, ordering, congestion control, connection setup, and overhead. How does TCP detec...
Optimize interval-scoring strategy
Optimize interval-scoring strategy Five-Round Interval-Estimation Game: Optimal Intervals and Risk Allocation You play five independent rounds. In rou...
Demonstrate software engineering fundamentals
Demonstrate software engineering fundamentals Software Engineering Fundamentals: Git, Docker, Python Environments, and C++ Concepts Context: You are i...
Explain an End-to-End Research and ML Pipeline
Prepare a structured Freestone Grove behavioral interview answer for explain an end-to-end research and ml pipeline. The prompt helps candidates frame...

Implement Dependency-Aware Task Scheduler
This question evaluates skills in designing and implementing data structures and algorithms for priority scheduling, dependency resolution, and dynami...
Design a News-Filtering Prompt
You are acting as the coach of an Olympic champion. The athlete receives many news articles every day, and you want to use a large language model to f...
Analyze Product Launch and Creator Engagement
You are interviewing for a Data Scientist intern role at a short-video platform. Use a recent data or machine-learning project from your resume as the...
Compare Complete or Partial Hands
Implement a hand comparison engine for a simplified poker-like card game. Each player has a hand represented by an array of card strings. A card is en...
Design analytical tracking database
Design analytical tracking database Design an Analytical Database for User Actions Context You are building an analytics data store to track user beha...
Implement flat_map, redistribute wealth evenly
Implement flat_map, redistribute wealth evenly Implement std::flat_map in C++, including its iterator; explain design choices and add thorough test ca...
Detect credit-card transaction fraud
Credit-Card Fraud Detection: Real-Time Decisioning and System Design You are designing a real-time decisioning system for card-payment authorizations ...
Measure Shopify App Store Launch Success Effectively
Measure Shopify App Store Launch Success Effectively Scenario Shopify is launching the Shopify App Store to help merchants discover, evaluate, and ins...
Evaluate New Model's Performance Against Existing System
Evaluate New Model's Performance Against Existing System Scenario You are evaluating a new machine-learning model that detects harmful content on a la...
Highlight Netflix Culture Principle in Past Work Example
Behavioral Interview: Netflix Culture Fit and Project Walkthrough Problem Statement You are interviewing for a Data Scientist role at Netflix. This is...
Identify Risks and Improve Imputation Class Implementations
Identify Risks and Improve Imputation Class Implementations Scenario You are reviewing three custom Python imputation classes intended for use in a sc...
Design A/B Test for Search Feature Effectiveness
Design A/B Test for Search Feature Effectiveness A/B Testing a Search Button and Measuring Search Quality Scenario A product team wants to evaluate a ...
Evaluate Dasher Initiatives with A/B Testing and Metrics
Evaluate Dasher Initiatives with A/B Testing and Metrics Scenario You are the product/analytics lead for a food-delivery marketplace. You must evaluat...
Discuss Résumé Highlights and Past Work Experience.
Discuss Résumé Highlights and Past Work Experience. Behavioral HR Screen — Data Scientist (45 minutes) Setup A 45-minute conversation with a current e...