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."
Implement an Extensible Chatbot App
Implement a ChatApp class that processes user messages and routes them to bot responders. The system must support multiple bot types, and the design m...
Design an end-to-end training framework
Design an end-to-end training framework Design an End-to-End Time-Series Forecasting Framework (PyTorch) You are tasked with designing a production-gr...
Design and optimize a RAG system
Scenario You are building a Retrieval-Augmented Generation (RAG) system for question answering over an internal document corpus (engineering wikis, de...
Design a ChatGPT-like conversational assistant
Design a ChatGPT-like conversational assistant product. Assume you need to support: - Multi-turn chat with conversation history - Streaming responses ...
Debug a transformer training pipeline
Debug a Transformer training pipeline You are handed a PyTorch Transformer encoder–decoder training pipeline that misbehaves. The pipeline includes to...
Design a trie-based URL router with wildcards
Design a trie-based URL router with wildcards Implement a URL routing matcher that supports adding route patterns and matching request paths, using a ...
How would you critique this regression?
Question You are reviewing a modeling workflow built by another data scientist and asked to critique it. Business context A website receives traffic f...
Explain logistic regression vs forests and boosting
Technical Screen — Machine Learning Answer all parts precisely. 1) Binary logistic regression: model, loss, gradient, convexity - Define the model: p(...
Design a network-aware Wi‑Fi badge experiment
You work on a two‑sided travel search marketplace and product wants to add a “High Wi‑Fi” badge/filter in the search bar to help remote workers. Recom...
Design an OOD detection system
This question evaluates a candidate's competency in ML system design, specifically out-of-distribution detection, production monitoring, interpretabil...
Debug a Random Dasher Registry
Debug a Random Dasher Registry A registry supports adding dashers and randomly selecting and removing one. It uses a dense array of dasher IDs plus a ...
Design an Ad Frequency Capping System
Design a frequency capping system for an advertising platform. A frequency cap limits how many times a user can be shown an ad, campaign, line item, o...
Diagnose Weekly Session Conversion Anomalies
You are a Data Scientist supporting an e-commerce platform. You receive a weekly time-series dashboard covering the past three years. The dashboard in...
Describe proudest project and toughest challenge
Behavioral questions 1. Proudest project: Tell me about the project you are most proud of. What was the goal, what did you personally own, and what wa...
How would you present a project deep dive?
You are asked to do a project deep dive (often with a short slide deck). Present one project you worked on and be prepared for detailed follow-ups. Co...
Sort an RGB Record Collection In Place
This question evaluates a candidate's ability to implement an in-place, single-pass partitioning algorithm under strict interface constraints, commonl...
Model Soccer Shot Conversion
This question evaluates probabilistic predictive modeling, spatial-temporal feature engineering, model calibration and evaluation, and identification ...
Design a Distributed Rate Limiter
This question evaluates a candidate's understanding of distributed systems, rate limiting strategies, API design, consistency and scalability trade-of...
Design an LLM-based binary classifier
Design a Binary Text Classifier Using Only a Log-Probability Scoring Helper Context You are building a binary text classifier without fine-tuning. You...
Implement greedy and beam decoding
Implement Greedy and Beam Search Decoders over Next-Token Probabilities Context You are given a directed token graph represented as a Python dictionar...