Meta Data Scientist Machine Learning Interview Questions
Practice 50 real Machine Learning interview questions for Data Scientist roles at Meta.
"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."
Design a restaurant recommender under constraints
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Tune fraud threshold under review capacity and costs
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Evaluate and Experiment with Harmful Content Detection Model
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Identify Fake Accounts Using Machine Learning Techniques
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Design hashtag recommender with cold start
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Design a System to Recommend Local Restaurant Profiles
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Design Machine Learning Model for Facebook Groups Post Ranking
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Design a hashtag recommender for News Feed
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Identify Features for Fake News Detection on Facebook
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Determine Features for Effective Hashtag Recommendations
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Build Predictive Model for Buyer Engagement Uplift
Predict Engagement Uplift for a New "Show Similar Products" Button A new "Show similar products" button may change buyer engagement. You need to build...
Design a Restaurant Recommendation System for Food Apps
Design a Restaurant Recommendation System for a Food-Ordering App You are designing an end-to-end recommendation system that suggests restaurants to u...
Identify Algorithms for Detecting Malicious Duplicated Content
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Evaluate fraud classifier with cost-sensitive metrics
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Evaluate Classifier with Precision, Recall, and Fairness Metrics
Evaluate Classifier with Precision, Recall, and Fairness Metrics Offline Evaluation Framework for a Harmful-Content Video Classifier Context You are e...
Evaluate New Model's Performance Against Existing System
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Evaluate Product-Ranking Algorithm with Precision and Recall Metrics
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