LinkedIn Machine Learning 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."
Answer practical ML foundations questions
In an ML interview, you are asked a series of practical ML foundation questions: 1) Model outputs probabilities. When do you need probability calibrat...
Plan and lead a large recommendation project
You are given a recommendation design problem, but the interviewer focuses on leadership and execution rather than detailed modeling. Explain how you ...
Generate uniform 0–6 from biased coin
You are given a function: - int getRandom01Biased() returns 0 with probability p and 1 with probability 1-p, where p is unknown and may be any value i...
Design LinkedIn Learning course recommendations
Design a mini ML system to recommend LinkedIn Learning courses to a user. Product goal: - Recommend courses that help the user succeed in their job se...
Sample index from weighted probability distribution
Given an array weights[0..M-1] representing a discrete distribution over M outcomes, implement a function sampleIndex(weights) that returns an index i...
Explain activations, losses, and Adam
Answer the following ML fundamentals questions: 1) Neural network building blocks - What is a "layer" in a neural network, and what does it compute? -...
Explain overfitting vs underfitting and fixes
Question 1. What are overfitting and underfitting? 2. How can you diagnose each using training/validation metrics? 3. What are common mitigations for ...
Design a system for LinkedIn Skills
Design an ML system for “LinkedIn Skills”. The system should infer and/or recommend skills for members, and support downstream use cases like search/r...
Sample uniformly from a circle’s area
How would you generate a point (x, y) uniformly at random from the area of a circle of radius R centered at the origin? - Explain why naive choices (e...
Compute point-to-segment minimum distance
Problem Given a 2D point P(x, y) and a line segment with endpoints A(x1, y1) and B(x2, y2), compute the minimum Euclidean distance from point P to the...
Implement alert queries and spike detection
You are building an in-memory alert analytics component. Each alert has: - timestamp (integer seconds since epoch) - severity (one of a small fixed se...
Design a scalable metrics monitoring system
Design a scalable metrics monitoring system Design a Metrics Monitoring System for Large-Scale Services Context You are designing a metrics monitoring...
Design a distributed key-value store
Design a distributed key-value store Design a Distributed Key–Value Store (Technical Screen) Context You're designing a cloud-native, multi-tenant key...
Design a Skills inference system
Design an end-to-end ML system to power a "Skills" feature for a professional social network. The product wants to: - Extract and infer a member’s ski...
Sample index from probability distribution
You are given a discrete probability distribution for an \(M\)-sided die as an array p[0..M-1], where each p[i] is non-negative. Design a function sam...
Find shortest word transformation with caching
Find shortest word transformation with caching You are given a start word and an end word of equal length, and a dictionary of valid words. In one mov...
Explain Core ML Fundamentals
Answer these machine-learning fundamentals questions clearly and precisely: 1. Logistic regression: why is it suitable for binary classification, and ...
Implement K-Means and Explain Convergence
Implement the K-means clustering algorithm for points in Euclidean space. Your implementation should: - take a dataset of points and a target number o...
Compute total covered interval length
Compute total covered interval length Given a list of integer intervals [l, r) (half-open), compute the total length covered by at least one interval....