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."
Diagnose completed orders drop in Los Angeles
You are a data scientist at DoorDash supporting the consumer pricing team. The number of completed delivery orders in Los Angeles has dropped meaningf...
Design a distributed job scheduler
This question evaluates understanding of distributed systems, reliable job scheduling and dispatch, fault-tolerant worker coordination (heartbeats and...
Design Duplicate File Detection
This question evaluates system design and storage engineering skills, including scalable file-processing, efficient I/O and resource management, corre...
Solve tree and DP problems
This coding round contained two algorithm questions: 1. Deepest shared ancestor in a binary tree You are given the root of a binary tree and two ...
Design a Core Dump Collection and Analysis System
Prepare for a Amazon system design interview about design a core dump collection and analysis system. This question focuses on requirements, architect...
Design an A/B testing platform
This question evaluates the ability to design an end-to-end A/B testing platform, assessing competencies in distributed systems architecture, data mod...
Build a Concurrent Recurring Job Scheduler
Design a thread-safe recurring job scheduler with concurrent schedule and deschedule operations. Specify timing semantics, cancellation races, stale e...
When should products use AI?
A product-oriented interview asks you to discuss AI adoption in software products. Explain how you would decide whether a feature should use AI or a t...
Solve four algorithmic coding tasks
You are given four independent coding tasks. They may be solved in any order, and partial test-case credit is awarded for each task. The tasks are rou...
Model wins-until-failure and expected future wins
This question evaluates probabilistic modeling and statistical inference skills for censored time-to-event performance data, focusing on estimating pl...
Design and implement a tiny language runtime
Design and implement a tiny language runtime Minimal Imperative Language — Design and Implementation Task Context You are asked to design and implemen...
Design an object store with deduplication
System Design Prompt Design a simplified cloud object storage service (similar to an object store) that allows users to upload and download files. The...
Build a Banking System with Activity Rankings
Build a Banking System with Activity Rankings Problem Implement an in-memory banking system that processes these operations: - CREATE_ACCOUNT account_...
Design a Scalable News Feed
This question evaluates a candidate's competency in large-scale system design, specifically architecture, data modeling, API design, feed delivery str...
Design a RAG-Based Agent System
This question evaluates a candidate's competency in designing end-to-end Retrieval-Augmented Generation (RAG) systems and LLM-based agents, covering r...
Estimate ATE of personalization on streaming
You are given a user-level dataset from an online experiment that randomized personalization (treatment) vs no personalization (control). Assume one r...
Answer Google Behavioral Questions
Question In a behavioral interview for a Data Scientist role at Google, how would you answer the following questions? A strong answer should be specif...
Compare Losses and Explain LoRA
ML Fundamentals: Loss Functions and Low-Rank Adaptation This is a rapid-fire ML fundamentals screen. You are expected to reason precisely about loss f...
Debug ML pipeline and build text parser
You are in a hands-on, hour-long ML-engineering working session (Scale AI, Machine Learning Engineer loop). You are given a small ML project — data lo...
Design an online ticket marketplace
Design a Ticketmaster-like system for discovering events and buying tickets. Your design should cover: - Functional requirements (e.g., browse/search ...