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."
Answer common DS behavioral screen questions
You are interviewing for a Data Science internship. Answer the following behavioral questions. 1. Introduce yourself (30–60 seconds). 2. Project deep ...
Decide Which Show to Renew
This question evaluates financial modeling, expected-value calculation, probabilistic reasoning, and risk assessment skills as applied to content rene...
Handle conflict and missed delivery deadlines
Answer behavioral questions covering: 1. Conflict: Describe a time you had significant conflict with a teammate/stakeholder. What caused it, what did ...
Design fast search for AV raw logs
This question evaluates a candidate's ability to design scalable logging and search infrastructure for autonomous-vehicle telemetry, testing skills in...
Find largest file in a directory using Bash
This question evaluates a candidate's proficiency with shell scripting and Unix command-line concepts, including recursive file-system traversal, reco...
Clean OCR data and build an LLM dataset
This question evaluates competency in OCR data cleaning and normalization, dataset engineering for LLM fine-tuning, quality filtering, and evaluation ...
Design a banking ledger for deposits/withdrawals
This question evaluates a candidate's competency in monetary data modeling, concurrency control, idempotency, and maintaining transactional correctnes...
Design a group chat system
This question evaluates system design and distributed-systems competencies including real-time messaging architecture, API design, data modeling and s...
Design a feedback-text personalization data system
System/ML design scenario: personalize using user feedback text You are building an embeddings + personalization pipeline for a consumer product (e.g....
Implement alert queries and spike detection
This question evaluates a candidate's skills in streaming data structures, time-windowed aggregation, in-memory analytics for high-throughput alert in...
Design a customer LTV prediction system
System Design: End-to-End ML for Customer Lifetime Value (LTV) Context You are designing an end-to-end machine learning system to estimate customer li...
Design a real-time favorites service at scale
Design: Real-Time Favorites/Unfavorites Service at High Scale Context Design a backend service that lets users favorite/unfavorite items (e.g., posts,...
Which Dice Game Wins More Often: One Six in 4 Rolls, or Double Sixes in 24 Rolls?
You are offered two dice games and asked to decide which one gives you a better chance of winning. - Game 1: Roll one fair six-sided die 4 times. You ...
Build and troubleshoot image classification and backprop
Build and troubleshoot image classification and backprop CIFAR-like Noisy Dataset: Baseline, Data Quality Plan, and First-Principles Backprop Context:...
How would you evaluate adding video ads?
You are a data scientist for a free-to-play mobile game. The product team wants to introduce video ads (e.g., rewarded videos and/or interstitial vide...
Solve Maze and Suffix Problems
Solve the following two coding problems. Problem A: Find the shortest path through a maze with keys and doors You are given a 2D grid representing a m...
Model data for an ads platform
This question evaluates a candidate's competency in data modeling and database architecture for large-scale advertising systems, including relational ...
Explain Linear Regression Assumptions
This question evaluates understanding of ordinary least squares linear regression assumptions and their implications for unbiased coefficient estimate...
Design an in-memory key-value store using maps
Design a low-level key-value store library (like an embedded storage engine) under an interview constraint: you may use only map/dictionary-like data ...
Deep dive a technical project and its impact
Describe one technical project you led or significantly contributed to (DS/analytics/ML/engineering). The interviewer wants both a high-level story an...