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."
Analyze CTR Data and Train Model
This question evaluates end-to-end supervised machine learning competencies for tabular click-through rate prediction, including exploratory data anal...
Answer general fit and AI safety questions
Answer general fit and AI safety questions Behavioral and AI-Safety Interview Prompts (Software Engineer, Onsite) Context You are interviewing for a S...
Four Fair Coins: Expected Payoff and Pricing Two Magic Wands
You play the following game: four fair coins are tossed at the same time. For every coin that lands heads, you are paid \$1. The interviewer walks you...
Describe project impact and critical feedback
Prepare for two behavioral prompts commonly asked in a software engineering onsite interview: 1. Describe a project you are proud of Explain the bu...
Train and analyze a classifier
You are given a labeled dataset for binary classification. Implement an end-to-end Python solution that trains a classifier and analyzes it to a produ...
How do you prioritize and influence?
In a behavioral interview for an AI/ML engineering role, be prepared to answer questions like the following: 1. How do you prioritize multiple project...
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 in-memory DB with TTL and backup
Question Design and implement an in-memory, versioned key → (field → value) database that supports per-field TTL, time-travel reads, lexicographically...
Implement cache and gift assignment system
You are given two independent programming problems. --- Problem 1: Implement a bounded key–value cache Design a data structure that stores key–value p...
Introduce yourself and justify quant research fit
Behavioral Prompt: Self-Intro, Motivation, and High-Stakes Decision You are interviewing for a Software Engineer role in a quantitative trading resear...
Build a Housing Price Prediction Model from Historical Data
You are given a historical dataset of residential real-estate transactions — sale records with property attributes, location information, and sale dat...
Design a Top-K Ranking Service
This question evaluates a candidate's ability to design scalable, real-time Top-K ranking services, testing competencies in distributed systems, strea...
How do you choose a model?
This question evaluates skills in model selection, task and business-objective definition, data-property analysis, production constraint reasoning, ba...
Implement common neural network layers in PyTorch
Implement the following neural-network building blocks from scratch in PyTorch (using only basic tensor ops such as matmul, sum, mean, var, exp, max, ...
Design Hebbia Chat for SEC Filings
This question evaluates expertise in ML system design, specifically the ability to architect a multi-agent retrieval-augmented generation pipeline at ...
Design a global real-time notification system
This question evaluates competency in designing large-scale distributed systems for global real-time notifications, covering scalability, multi-region...
Calculate Completion Time for a Single-Server Reactor Queue
A laboratory has one molecular reactor. Each accepted sample takes exactly 5 minutes to process. Samples arrive throughout the day at integer timestam...
Describe how you prevent project delays
Answer the following behavioral questions. 1) How do you ensure your project won’t be delayed? Explain your concrete methods, habits, and mechanisms y...
Discuss projects, mentorship, and conflict resolution
Answer the following behavioral questions with concrete examples: 1) Project deep dive: Describe a project you worked on that had meaningful impact. W...
Design and diagnose a regression pipeline
CLV_90 Prediction Pipeline under Zero-Inflation, Heavy Tails, and Multicollinearity Context You need to predict 90-day customer value (CLV_90) at the ...