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."
Explain LLM lifecycle and trade-offs
Explain the end-to-end lifecycle of a modern large language model. Cover training data collection and filtering, pretraining objectives, transformer a...
Validate Sorted Order Under a Custom Alphabet
This question evaluates a candidate's ability to apply custom ordering rules and string comparison logic, a common variant of array and string validat...
Explain Transformer Attention Fundamentals
This question evaluates understanding of Transformer architectures and LLM training fundamentals, specifically attention mechanics, attention masking ...
Answer Leadership Scenario Questions
This question evaluates leadership, judgment, stakeholder communication, product trade-off decision-making, and ownership skills within a software eng...
Find Optimal Property Combination
This question evaluates combinatorial optimization and algorithmic problem-solving skills, focusing on subset selection under capacity constraints and...
Design Real-Time Trending Likes
This question evaluates skills in designing scalable, low-latency real-time analytics systems, covering stream processing, time-windowed aggregations,...
Implement and derive backprop from scratch
Tiny Neural Network From First Principles: Binary Classification Implement and analyze a minimal neural network for binary classification with a singl...
Answer Manager Behavioral Prompts
In a hiring-manager interview, prepare concise STAR-style answers for the following prompts: 1. Describe a significant project you led or contributed ...
Group Events by an Ordered Attribute List
Group Events by an Ordered Attribute List Problem Implement groupEventCounts(fieldNames, events, groupBy) -> resultJson. Each row in events is a porta...
Design an Automated Ticket Investigation Agent
Design an AI-enabled agentic system that automatically investigates support or engineering tickets. The system should: - Read an incoming ticket and u...
Find maximum value in huge text file
You are given the path to a very large text file on disk. The file has the following properties: - Each line contains exactly one signed 64-bit intege...
Shortest Path in a Grid with Blocked Cells
This question tests a candidate's practical grasp of graph traversal algorithms applied to 2D grid problems, specifically BFS for unweighted shortest-...
Robust Selenium Code to Extract Text from Two Elements
This question evaluates practical knowledge of browser test automation, specifically writing reliable Selenium code that reads text from web elements ...
Walk through a project deep dive
Behavioral Deep Dive: Walk Through an Impactful Project You are interviewing for a Software Engineer role. This is a hiring-manager (HM) round, not a ...
Design a bank account ledger
Design a Bank Account Ledger Design a bank account ledger service for a fintech app. The system is built on an immutable, double-entry ledger so it is...
Courier Delivery Cost Tracker
This question evaluates a candidate's ability to design a stateful, multi-part class that combines interval tracking with incremental balance accounti...
Design a Medicine Development Platform
Design a medicine development platform and explain microservice boundaries, communication, database choices, async workflows, and AI use cases. `hint ...
Design a Product or Video Recommendation System
Design a recommendation system for a large consumer platform. The platform may recommend either products in an e-commerce feed or videos in a media fe...
Answer practical ML foundations questions
In an ML interview, you are asked a series of practical ML foundation questions: 1) Model outputs probabilities. When do you need probability calibrat...
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 ...