Process
Applied online. Received a recruiter screen within two weeks covering background and role fit. Followed by a technical phone screen with coding, which was a LeetCode medium-hard problem involving arrays or graphs. Then there was a virtual onsite with four rounds:- Two coding rounds.- One ML system design round on a recommendation and ranking system.- One behavioral round.Interviewers were professional and gave time to ask questions. Results were communicated within a week post-onsite.
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Interview Statistics
The following metrics were computed from 161 interview experiences for the Meta Machine Learning Engineer role.
Success Rate
Meta's interview process for their Machine Learning Engineer roles is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process.
Meta Work Experiences
- 3.0Not worth going anymoreMachine Learning Engineer • Former EmployeeMenlo Park, California, United StatesJune 9, 2025Pros: relatively high pay free foodCons: toxic workplace minimum work-life balance reduced benefits
- 4.0Good time overallMachine Learning Engineer • Former EmployeeJanuary 3, 2025Pros: Smart people and the food, oh my!Cons: Work-life balance is not so great, to be honest.
- 5.0Great Pay, Long HoursMachine Learning Engineer • Current EmployeeSydney, New South Wales, AustraliaSeptember 24, 2025Pros: Good benefits and competitive salary.Cons: Time spent on work is much.
Meta Interview Questions
