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 signup rate and retention from raw logs
Scenario You are analyzing an A/B test for a marketing campaign offering a free 1-month trial. You are given raw “upstream” tables that resemble produ...
Explain parallelism and collectives in training
Parallelism strategies and communication in large-scale training You are designing a distributed training setup for very large neural networks that ca...
Find minimal time for four people crossing
Assume there are four people who need to cross a narrow bridge at night using a single flashlight. - Each person \(i\) requires a different, known amo...
Describe a major challenge you faced
In a behavioral interview for a software engineering or technical role, you are asked: > Describe the most significant challenge you have faced in an ...
Find minimum of unknown convex function
You are given access to an unknown univariate convex function \(f(x)\) defined on a closed interval \([L, R]\) on the real line. - You cannot see the ...
Design an LLM quality validation system
You are asked to design an end-to-end LLM quality validation system for a team that trains and serves large language models. The goal is to automatica...
Explain Transformers and MoE in LLMs
You are interviewing for a role working with large language models (LLMs). Explain the following concepts and how they relate to building and scaling ...
How would you optimize large-scale training/inference?
This question evaluates a candidate's skills in ML system design, GPU/CUDA performance engineering, and distributed training and inference optimizatio...
Describe cross-team collaboration on past projects
In a behavioral interview with an engineering manager, you are asked to discuss your previous project experience, with a particular focus on cross-tea...
Describe conflict and failure using STAR framework
You are in a behavioral interview for a software/ML engineering role. The interviewer asks you to: 1. Describe a time you faced a significant conflict...
Optimize MapReduce performance
Optimize MapReduce for Parallel Efficiency and Network Utilization You are designing a large-scale batch processing job (e.g., feature extraction, log...
Deep dive a technical project and its impact
Describe one technical project you led or significantly contributed to (DS/analytics/ML/engineering). The interviewer wants both a high-level story an...
Design an Event Booking System
This question evaluates system architecture, distributed systems, data modeling, concurrency control for seat inventory, transactional integrity for b...
Design a metrics platform without alerting
This question evaluates a candidate's ability to design a scalable time-series metrics platform, covering data modeling for counters/gauges/histograms...
Implement an In-Memory File System
This question evaluates understanding of file-system abstractions, tree-based data structures, path parsing, and stateful directory and file managemen...
Find Maximum Eastbound City Visits and Parse CSV
The first problem evaluates algorithmic reasoning about ordering constraints and subsequence selection, testing skills in sequence algorithms, multidi...
Implement a Referral Network
This question evaluates skills in modeling and manipulating directed acyclic graphs, implementing graph-based ranking metrics (reachability and flow c...
Find Unique Target-Sum Pairs
This question evaluates array-processing skills, correctness in handling duplicate values, and the ability to identify unique value pairs whose sums m...
Design RAG Retrieval for Data Assets
This question evaluates skills in designing hybrid retrieval pipelines over enterprise metadata, including competencies in information retrieval, exac...
Answer RAG, Transformer, And Fraud Metric Fundamentals
Prepare for a machine learning interview that asks rapid conceptual questions about retrieval-augmented generation, neural network architectures, and ...