Coinbase Machine Learning Engineer Interview Questions
Practice the exact questions companies are asking right now.
"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."
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"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."
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"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."
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"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 local maxima, bagging, and k-means
You have 70 minutes for three programming tasks. Task 1 — Find local maxima Given an integer array a of length n (1 <= n <= 2e5), return all indices i...
Build a baseline classification model from messy data
In a live notebook (e.g., Jupyter), you are given a messy, real-world tabular dataset for a binary classification problem. Data characteristics - Targ...
Write SQL to rank top products per category
You are given two tables: products - product_id (int, primary key) - category (string) order_items - order_id (int) - product_id (int) - quantity (int...
Explain precision/recall and compute NN output
You are given a short ML fundamentals assessment with three parts. Part A — Precision/Recall/F1 A binary classifier on a dataset produced the followin...