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."
Compute minimum added stones to balance a tree
This question evaluates competency in tree algorithms, subtree aggregation, and integer resource balancing by requiring reasoning about hierarchical s...
Design a multithreaded CPU 1D convolution
Question Design and implement a multithreaded CPU version of the valid 1‑D convolution. Valid convolution produces an output of length M = N − K + 1, ...
Find Minimum Compatible Version
This question evaluates binary search, monotonic predicates, careful version ordering, and cost-aware optimization of expensive compatibility checks. ...
Solve Graduate Trader Probability Questions
A graduate trader online assessment reportedly included the following quantitative reasoning, probability, and logic questions. Solve each problem. 1....
Explain bias–variance, overfitting, and vanishing gradients
This question evaluates understanding of core machine learning fundamentals—specifically the bias–variance tradeoff, overfitting detection and mitigat...
Prioritize competing engineering requests
Scenario You are a Data Scientist/Analytics partner supporting multiple engineering teams. Two (or more) teams simultaneously ask you to prioritize th...
Determine Redeemable Promotion Offers
This question evaluates proficiency in event-stream processing, stateful counting, timestamp filtering, and enforcing business constraints for limited...
Analyze EV, arbitrage, and bet sizing across games
Betting Games: EV, Variance, Arbitrage, and Sizing Context You will be shown payout tables or odds for three independent games. Your task is to quickl...
Derive MLE and Bayesian posterior for Bernoulli
Bernoulli/Binomial Inference Task You observe n independent Bernoulli trials with unknown success probability p, and you record k successes (so K ~ Bi...
Find probability of overlapping blooms
Overlap Probability of Two Random Bloom Periods Assumptions - Time is measured in days over a 30-day horizon. - Each flower begins blooming once, at a...
Design a production RAG system
Question Design a production retrieval-augmented generation (RAG) system for enterprise document QA. Walk through the end-to-end architecture and just...
Design multi-tenant ingestion and processing platform
This question evaluates a candidate's ability to architect scalable, multi-tenant data ingestion and processing platforms, assessing competencies in t...
Answer SDET internship behavioral interview questions
You are interviewing for an SDET Intern role. Prepare structured answers for the following behavioral prompts: 1. Tell me about your most recent inter...
Introduce yourself and explain your project
Behavioral questions 1. Introduce yourself (education/background, current role, what you focus on). 2. Where are you from? (brief personal background ...
Explain your database experience and debugging approach
This question evaluates a candidate's practical database engineering knowledge, concurrency debugging skills, and ability to integrate and verify AI-a...
Design load balancing, caching, and idempotent APIs
You are designing a backend service that will be deployed across multiple instances behind a load balancer. Answer the following: 1) Load balancing - ...
Describe Helping an Underperforming Peer
Answer the following behavioral interview questions: 1. Tell me about a time when you helped a peer or teammate who was underperforming. 2. Tell me ab...
Explain GRPO-style training for diffusion models
This question evaluates understanding of reinforcement learning applied to diffusion-based generative models, covering policy optimization, reward mod...
Design a scalable game app store
You are asked to design a backend system for a game app store. The product is similar in spirit to an app marketplace but focused on games. Requiremen...
Python Language and Runtime Fundamentals
Python Language and Runtime Fundamentals Clarifying Questions to Ask - Should answers describe CPython specifically or Python language semantics acros...