Machine Learning Engineer Interview Experience - Menlo Park, California
Process
A recruiter reached out by email, then a phone chat with an engineer, and I was called out for an onsite interview (six one-on-one interviews in a day) at Menlo Park. The interviews covered generic coding questions, machine learning questions, or career questions, depending on the interviewer, in no specific order.
Questions
How would you build, train, and deploy a system to detect if multimedia and/or ad content being posted violates terms or contains offensive materials?
How do you solve a disagreement with a team member?
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Interview Statistics
The following metrics were computed from 11 interview experiences for the Meta Machine Learning Engineer role in Menlo Park, California.
Success Rate
Meta's interview process for their Machine Learning Engineer roles in Menlo Park, California is very selective, failing most engineers who go through it.
Experience Rating
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in Menlo Park, California.
Meta Work Experiences
- 5.0Ideal Environment, Smart ColleaguesMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesApril 10, 2024Pros: Great perks, smart people, interesting projects.Cons: none I can think of!
- 3.0Good Team, Mixed OutlookMachine Learning Engineer • Former EmployeeMenlo Park, California, United StatesMarch 22, 2024Pros: Pay Scope People Support SpeedCons: Infra CEO midlife crisis WLB Zero planning Tech debt
- 3.0Great pay, too much pressureMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesMay 12, 2025Pros: Pay is competitive. Work on state-of-the-art AI.Cons: No work-life balance; everyone cares about short-term goals only.
Meta Interview Questions
