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."
How to prepare for a hiring manager round
You have an upcoming hiring manager (HM) / behavioral interview round (plus a separate HR round) for a quantitative/tech role. Question 1. What does a...
Design centralized log ingestion and query system
This question evaluates a candidate's ability to design scalable, reliable log ingestion and query systems, covering distributed systems, high-through...
How would you design delay and watchlist models?
You may be asked one or both of the following machine-learning case questions: 1. Flight-delay prediction case An airline wants a model that predicts ...
Describe Learning, Conflict, and Mistakes
You are interviewing for a Data Scientist role. Answer the following behavioral questions using specific examples from work, research, or internships:...
Describe your most impactful project
Tell me about the project where you had the most impact. Explain the business or user problem, why it mattered, what your specific role was, the harde...
Debug a Project Assignment Codebase
This question evaluates debugging, state management, test-driven troubleshooting, data filtering correctness, and the ability to maintain a public API...
Design an alert notification system
Design a multi-tenant alert notification system for operational incidents. Monitoring sources send events when checks fire or recover. Users can confi...
Describe your best team and your role
Question This is a two-part behavioral question. Answer both parts with concrete, specific examples (use STAR where relevant), and connect what you va...
Design User Re-engagement Notifications
Design a re-engagement system for an AI assistant product. The system should support at least two use cases: 1. Send relevant notifications to inactiv...
Evaluate Carousel and Billboard Lift
This question evaluates experiment design, causal inference, metric definition, diagnostic analysis, and measurement validity within the Analytics & E...
Design an AI gateway
This question evaluates a candidate's competence in designing service-oriented architectures for integrating multiple external large language model pr...
Design in-memory DB with TTL and history
In-Memory Database: Progressive Design in 4 Levels You are designing a simplified in-memory database to be implemented in four progressive levels. Eac...
How would you decide to cancel a TV show?
This question evaluates a data scientist's competencies in business analytics and strategic decision-making, including financial and valuation reasoni...
Design a location-based radius top-K search
Design a location-based search service. Input: - latitude, longitude - radius (meters) - K Output: - The top K locations within the radius. The term “...
Design a Checkers Game Simulator
Design and partially implement an object-oriented simulator for a two-player checkers-like board game. Requirements: - The game is played on an 8 x 8 ...
Explain overfitting, dropout, normalization, RL post-training
Machine Learning fundamentals Answer the following: 1. What is overfitting? How can it be mitigated in machine learning? 2. Narrowing to deep learning...
Describe a failure and a success
Questions 1. Tell me about a time you failed (or something didn’t go as planned). What happened, what did you learn, and what would you do differently...
Explain LLM fine-tuning and generative models
This question evaluates understanding of LLM adaptation techniques and trade-offs (fine-tuning and parameter-efficient methods) alongside knowledge of...
Implement IP Address Arithmetic
This question evaluates proficiency in IP addressing, parsing and validation, binary/address-space arithmetic, CIDR subnet calculation, and formatting...
Detect a Winner on a 3x3 Tic-Tac-Toe Board
Detect a Winner on a 3x3 Tic-Tac-Toe Board Implement tic_tac_toe_winner(board) for a completed or partially completed 3x3 board. Each cell is "X", "O"...