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."
Describe past projects and impact
Behavioral: Deep Dive Into Past Projects (Software Engineer, Technical Screen) Provide 1–2 major software engineering projects from your recent experi...
Demonstrate alignment with UBS culture
Behavioral Prompt: Aligning With UBS's Culture Context: You are interviewing for a software engineering role. Provide two concise, evidence-based exam...
Detect duplicate files efficiently
You are given access to a very large file system containing file paths and read access to file contents. Design an algorithm to identify groups of fil...
Design an elevator control system
Elevator Control System Design (N floors, M elevators) Context You are designing a multi-elevator control system for a building with N floors (1..N) a...
Design an e-commerce recommendation system
Design an Amazon-Scale E‑Commerce Product Recommendation System Context You are designing a large-scale recommendation system that powers multiple use...
Implement a robust socket message reader
Implement Message Framing Readers for TCP Sockets Context You are given a TCP socket. Each call to recv(k) may return any number of bytes up to k; in ...
Design credit balance with vector-clock expirations
Credit Balance Service with Vector-Clock Expiries You are designing a backend service that maintains per-user promotional credits. Credits are granted...
Handle disorganized interview logistics
Behavioral Prompt: Handling a Disorganized Interview Process (Software Engineer — Technical Screen) You are preparing for a Software Engineer technica...
Design real-time top-K products service
Question Design a real-time service that ingests a continuous stream of purchase events with the schema (customer_id, item_id, timestamp) and continuo...
Explain Logistic Regression Fundamentals
Logistic Regression from First Principles Assumptions and Notation - Binary classification with labels y ∈ {0, 1} and features x ∈ R^d. - Linear score...
Design a multimodal embedding service
System Design: Multimodal Embedding Pipeline for Documents, Images, and Videos You are designing a production service that computes embeddings for use...
Design an in-memory cloud storage system
In-Memory Cloud Storage Service (Take-home) Design and implement an in-memory cloud storage service that maps files (objects) to their metadata. The s...
Describe domain-aligned experiences and impact
Behavioral Prompt: Relevant Past Projects and 90-Day Impact Context Software Engineer — Technical Screen (Behavioral & Leadership). Prompt Choose one ...
Design multi-core service startup scheduler
Service Startup Scheduler on a Host with M CPU Cores Context You are given a directed acyclic graph (DAG) of services where an edge u → v means servic...
Design cache for DAG-based query views
System Design: Caching Strategy for a DAG of Materialized Views Context You are designing an analytics system that computes materialized query views. ...
Compare heap and stack memory
Compare heap and stack memory. Explain how each is allocated and freed, typical lifetimes of data stored there, access patterns and performance charac...
Design a multi-channel notification system
System Design: Multi-Channel Notifications (Email, SMS, Push, In‑App) Context Design a notification platform that reliably delivers messages across mu...
Discuss the future of quantitative finance
Outlook on Quantitative Finance (Next 5–10 Years) Context: You are interviewing for a data-focused role in quantitative finance. Provide a concise, st...
Design a persistent key-value store
Design and implement an in-memory key-value store with a 'medium' layer that serializes the store to bytes for persistence. Provide four functions: se...
Measure feature impact with switchback, PSM, and CACE
You work at a ridesharing company and want to measure the impact of a new membership feature on rides-per-user (RPU). Across the parts below you will ...