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 Expiring Record Store
Implement a level-based in-memory record store. The store contains records identified by a string key. Each record contains fields, where each field i...
Design Personalized Product Feeds
Design an ML system for personalized product feeds in an e-commerce application. For each user request, the system should return a ranked feed of prod...
Design AI-Powered Document Search
This question evaluates system-design and machine-learning engineering skills for building a scalable AI-enabled document ingestion pipeline, covering...
Implement fast power and k-palindrome
This question evaluates numerical algorithm design and string algorithm skills, focusing on efficient exponentiation with negative exponents and deter...
Solve two string DP/hash problems
Solve the following two coding questions. 1) Unique Morse Code Transformations You are given an array of strings words (lowercase English letters). Us...
Schedule vector ops on heterogeneous cores
This question evaluates understanding of scheduling and load-balancing heuristics for heterogeneous processors, algorithmic complexity reasoning, and ...
Implement a size-bounded LRU cache
This question evaluates a candidate's ability to design and implement efficient data structures for capacity-bound caching, focusing on handling varia...
Design a scalable service and model performance
System Design: Multi-Region, 50k QPS, p95 < 100 ms Context Design an online, read-heavy key-value service (for example, a user profile or feature look...
Describe open-source contribution experience
Question What is your experience contributing to open-source projects? Walk the interviewer through your background in detail, covering: 1. Projects a...
How would you design a Shop Ads ranking algorithm?
This question evaluates a candidate's understanding of machine learning-driven ad ranking, auction mechanics, multi-stakeholder objective formulation,...
Compare convolutions and transformers
Compare CNNs and Transformers Task Explain the key differences between convolutional neural networks (CNNs) and transformer architectures. Specificall...
Explain annotation agreement and LLM vs human judges
Annotation Agreement and LLM-vs-Human Judges Context You are on a model-evaluation team. Datasets are labeled, and model outputs are scored, by humans...
Describe pair programming communication approach
Pair Programming in a Timed Interview (ML Engineer) Context: You are in a timed, onsite pair-programming interview for a Machine Learning Engineer rol...
Build Classifier: Evaluate with AUROC for Imbalanced Data
Detecting Dead Links: Build and Evaluate a Classifier You have a dataset of 1,000 URLs labeled as good, meaning alive, or bad, meaning dead. The class...
Resolve Stakeholder Conflicts: Actions and Outcomes Explained
Behavioral Interview: Navigating Stakeholder Conflict You are a Data Scientist delivering a product or experiment with stakeholders such as Product, E...
Investigate Homepage Experiment Without Control Group: Methods and Metrics
Homepage Experiment Without a Control Group A social-media homepage team is analyzing a personalized feed. An intern accidentally launched a treatment...
Diagnose YouTube Usage Decline: Key Metrics and Segmentation
Diagnose YouTube Usage Decline: Key Metrics and Segmentation YouTube observes a sudden decline in daily active users and total watch time across the p...
Evaluate New Feed-Ranking Algorithm with A/B Testing
A/B Test a New Feed-Ranking Algorithm A social-media company wants to evaluate a new feed-ranking algorithm intended to increase daily active minutes ...
Diagnose Cold Food Deliveries with Key Metrics Analysis
Diagnose Cold Food Deliveries and Test a Fix A food-delivery platform is receiving a spike in customer complaints that delivered meals arrive cold. Yo...
Evaluate Factors Before Renewing TV-Series Contracts
TV-Series Renewal and Divestiture Analysis You are advising a CEO on whether to renew a two-year contract for two TV series: - The Analyst (Series A) ...