Meta Machine Learning Engineer System Design Questions
10+ questions from real Meta Machine Learning Engineer System Design rounds, reported by candidates who interviewed there.
What does the Meta System Design round test?
The Meta system design round assesses a candidate's ability to architect scalable systems. Machine Learning Engineer candidates are typically asked to design a large-scale service or platform from scratch, covering database choices, API design, scaling strategy, and failure modes.
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Meta Machine Learning Engineer System Design Questions
Leetcode is cooked in 2026 and we don't hire people who only grind leetcode.
Edit: yo im not saying NOT to do leetcode, I'm saying don't spend 80% effort on lc and 20% on everything else... About 2 years ago, I got in big tech and thought i've made it. I'm 2400 rating on lc, b
META MLS Full loop interview in 1 week.
I have my coding and AI coding interview in 1 week. Can sommeone suggest best schhedule to follow in thiis last one week.. Assume I do not have much leet code experience, but would be spending hours n
Meta E5/E6 Machine Learning Engineer on-site
I had my ML engineering on-site interview last week: 2 round of coding (hard/medium ) from 100 top Fcebook problems ( I think I did great and solve all the problems...
I had my onsite interview interview today. Location: Menlo Park, CA 1st coding round: I got LCA of Binary Tree and remove duplicates from sorted array. Did very well here and...
Horrible interview experience with Meta
I had interview a few months ago for MLE E6. I solved all 5 (including phone) coding interviews [all medium]. Their ML design was also super easy. The process took...
Meta E5 MLE interview loop (Oct 2024)
Hi all, I just completed my virtual onsite interview for an E5 MLE position with Meta this week. I thought I would share my experience here so it can benefit...
Facebook | Onsite 2019 | System Design | Menlo Park | New Grad
I got asked the below question in my onsite with facebook Menlo Park back in Dec 2019. Position: Research Scientist (= Software engineer for PhD grads) - L4 ...
Meta ML E6 Interview Prep - Allocation Between Classical ML vs GenAI/LLMs?
I'm preparing for Meta ML E6 (SWE, ML systems focus) interviews. 35 YOE in ML, but not in big tech. Background: I know ML fundamentals well, but news feeds, recommendation systems, and large-scale ran
For the onsite interview, the recruiter has given me the option to skip the system design interview (as I don\'t have SWE experience and have done research in the past)...
Design a News Feed system (like Facebook, Linkedin, etc.)
Design a scalable news feed system. How do you define your minimum viable product? What data to collect from users? How to customerize news for each user? What\'s state...
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