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."
Build Premium User Propensity Model
Design an end-to-end modeling approach to identify free-tier users who are likely to convert to a premium subscription. Discuss: - the business object...
Reverse Nodes in Groups of K
This question evaluates a candidate's ability to manipulate linked list pointers in place, handling in-group reversal while preserving overall structu...
Implement Top-p (Nucleus) Sampling in NumPy
This coding question tests practical implementation of top-p (nucleus) sampling, a core decoding strategy in large language models. It evaluates NumPy...
Evaluate account re-ranking via logs and A/B test
A product has users with multiple accounts. In the UI, these accounts are shown as a list. - Current ranking: accounts are sorted by most recent visit...
Design Event Email System
Design Event Email System Design an event system that can manage at least 1,000,000 concurrent events and send notification emails to every registered...
Explain CLIP, contrastive losses, and retrieval limits
Answer the following ML questions in the context of multi-modal (text–video/image) retrieval: 1) How does a CLIP-style model work conceptually (archit...
Design personalized restaurant search and recommendations
This question evaluates a candidate's expertise in designing scalable, personalized restaurant search and recommendation systems, including system arc...
Count Candies from Unlockable Boxes
This question evaluates a candidate's understanding of graph traversal, state management, and object-oriented design to determine reachability and res...
Handle imbalance, sampling, and overfitting
This question evaluates a data scientist's proficiency in machine learning topics including handling class imbalance, selecting and interpreting evalu...
Model an Extensible Employee Cost Calculator
Design an object model and calculation API for the total cost of an employee. Total cost has four components: 1. Base salary from the employee record....
How do you sample uniformly from an infinite stream?
This question evaluates understanding of streaming algorithms, randomized sampling and probability, and algorithmic space–time trade-offs involved in ...
Answer project deep-dive and Why Google questions
Scenario This round is conversational (no coding). The interviewer asks about: - One or more personal projects (deep dive) - Internship experience and...
Explain virtual machines and concurrency basics
Topics Answer at a senior-engineer depth. Use diagrams or step-by-step reasoning as needed. 1) Virtual machines (VMs) - What is a VM and what problem ...
Return Binary Tree Nodes in Vertical Order
Return Binary Tree Nodes in Vertical Order A binary tree has nodes numbered from 0 through n - 1, with node 0 as the root. Arrays left and right conta...
Resolve a cd Path Against the Current Directory
Resolve a cd Path Against the Current Directory Implement path resolution for a simplified Unix-like cd command. cwd is a normalized absolute path. ar...
Implement an In-Memory Database
Implement a simple in-memory relational database that processes a sequence of tokenized commands. You are given commands: List[List[str]], where each ...
Infer causal impact without an A/B test
Evaluate Impact of a Shipped Version on Disconnections (No A/B Holdout) Context A new client version was shipped system-wide with the goal of reducing...
Estimate impact of global launch without holdout
Causal Lift Plan After a Global Launch Without a Holdout Background A new product feature was launched globally on 2025-05-10, with no control or hold...
Design A/B test for AI chat box
This question evaluates skills in experimental design, product analytics, metrics selection, and causal inference relevant to a Data Scientist role in...
Design a dependency-aware job scheduler
This question evaluates understanding of designing scalable, dependency-aware job schedulers and related competencies in distributed systems, includin...