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."
Tell me about exceeding your responsibility
Answer these Amazon-style behavioral interview questions with concrete STAR stories: 1. Tell me about a time you went beyond your formal responsibilit...
Solve three scheduling and array problems
In this round you are given three separate coding problems to solve. --- Problem 1: Schedule tasks with cooldown You are given: - A list of tasks, whe...
Evaluate an Arithmetic Expression
This question evaluates proficiency in parsing arithmetic expressions, handling unary and binary operators, parentheses, whitespace, numeric tokenizat...
Format Words into Fixed-Width Lines
This question evaluates proficiency in string manipulation, greedy line-packing algorithms, and attention to implementation details such as spacing di...
Find top buyer in earliest 10-year window
This question evaluates proficiency in data manipulation and analytical querying with SQL/Python, emphasizing date-based windowing, join operations, a...
Optimize trade PnL table updates
This question evaluates understanding of incremental aggregation and state management, including handling overlapping predicates, caching expensive or...
Compute Range Sum Quickly
This question evaluates a candidate's understanding of range-sum queries, array preprocessing techniques and algorithmic complexity for answering mult...
Implement stacks, streaming median, and upward path sum
Complete the following coding problems. State the time/space complexity and key edge cases for each. 1) MinStack Design a stack that supports: - push(...
Explain core components of reinforcement learning
In reinforcement learning, we model an agent that interacts with an environment over time. The agent observes the state of the environment, takes acti...
Explain PPO and Transformer basics
PPO, Bellman Equations, On-/Off-Policy Learning, and Transformer Basics Context: You are interviewing for a machine learning role with emphasis on rei...
Implement prefix and suffix file search
Implement data structures and APIs to store file names and support efficient queries that match both a given prefix and suffix. Provide methods add(na...
Introduce yourself and align with team focus
Behavioral Prompt: Self-Introduction and Recent Projects You are in a technical screen for a Software Engineer role on a team working on diffusion mod...
Explain data structure fundamentals
Explain how a hash map works internally: hashing, collision resolution strategies (separate chaining vs. open addressing), load factor, and resizing. ...
Explain core ML concepts and design choices
ML Fundamentals — Interview Questions Instructions Answer the following five ML fundamentals questions. Use precise definitions, equations, and concis...
Define and measure article trending
Design “Trending” for Articles: Definition, Measurement, and Evaluation Context You are building a "Trending" ranking for an articles surface (e.g., h...
Design viewing history and resume service
Design: Watched-Video and Resume Playback Service Context Design a backend service that records each user’s watched video list and lets them resume an...
Explain a project and handle ambiguity
Behavioral & Leadership: End-to-End Project + Ambiguous Production Incident You are interviewing for a Software Engineer (Onsite) role. Provide a conc...
Design a GPT chat UI with snapshots and sharing
System Design: End-to-End Web App for Interacting with a GPT-like Model Context You are designing a multi-tenant, browser-based SaaS application that ...
Collect labels without existing data
Modeling Without Labels: End-to-End Plan You are tasked with shipping an ML model but have no labeled data. Outline a rigorous approach to: 1) Define ...
Design locker allocation service
Design a Best-Fit Locker Assignment Component Context You are designing the locker-assignment component for a Locker OS used at physical locker banks ...