Meta Machine Learning Engineer ML System Design Interview Questions
Practice 18 real ML System Design interview questions for Machine Learning Engineer 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 an LLM-Based Coding Assistant
Design an LLM-Based Coding Assistant You are asked, in a research-design round, to design the model and end-to-end system behind a large-language-mode...
Design an LLM-Based Conversational Assistant (Chatbot)
Design an LLM-Based Conversational Assistant (Chatbot) In a research-design round you are asked to design the model and system behind a general-purpos...
Design Place Recommendation System
Design a machine learning system for a maps or local-discovery product that recommends places a user may want to visit. The system should provide pers...
Prevent Private Code Leakage in Coding Agents
This question evaluates competency in ML system design, data privacy and security, model training and inference safeguards, and mechanisms for detecti...
Design a scalable MoE pretraining pipeline
Design a Large-Scale MoE Pretraining Pipeline (Bilingual LLM, 1T Tokens, 256×A100-80GB) Context You are designing a pretraining pipeline for a decoder...
Design Nearby and Notification Ranking
Two machine learning system design prompts were mentioned: 1. Nearby place recommendation for a mobile user Design a real-time recommendation syste...
Architect an asynchronous RL post-training system
System Design: Asynchronous RLHF/RLAIF Post-Training for a Production Chat LLM Context You operate a chat LLM that already serves real user traffic. Y...
Design an ads ranking system with calibration
This question evaluates a candidate's ability to design scalable, low-latency online machine learning systems for ads ranking, covering competencies i...
Design weapon-selling ad detection from posts
This question evaluates a candidate's ability to design a production-scale multimodal ML system for detecting weapon-selling ads, testing competencies...
Design a Location Recommendation System
This question evaluates a candidate's ability to design end-to-end machine learning recommendation systems, covering competencies in candidate generat...
Design a Short-Video Recommendation System
This question evaluates competency in designing large-scale short-video recommendation systems, including machine learning model selection, candidate ...
Design a weapon-sale ad detection system
This question evaluates a candidate's competence in end-to-end machine learning system design, covering multimodal signal integration (text, images, b...
Design image and multimodal generation systems
System Design: Image Generation and Multimodal Generation Part 1 — End-to-End Image Generation System Design an end-to-end image generation system. Co...
Design an image copyright-violation detection system
This question evaluates competency in designing scalable machine learning systems for image copyright detection, testing knowledge across computer vis...
Design comment ranking for a news feed
This question evaluates a candidate's ability to design an ML-powered comment-ranking system, testing competencies in personalization, engagement and ...
Design a newsfeed dislike model
This question evaluates a candidate's ability to design and operationalize a machine learning model that predicts the probability of a user disliking ...
Design nearby place recommendations
Real‑Time Nearby Places Recommendation System Context Design a mobile feature that recommends nearby places (e.g., restaurants, shops, attractions) to...
Design recommendation and weapon-ad detection systems
This question evaluates proficiency in end-to-end ML system design, covering scalable recommendation systems and safety-focused ad classification with...