Process
The process went smoothly, taking approximately two months from start to finish.
Overall, the experience was very positive. The recruiter was attentive and genuinely cared about my experience throughout the process. Communication was clear and timely, and it was easy to reschedule interviews when needed. The interview scheduling was flexible, which made it much easier to manage alongside my current responsibilities.
Questions
LeetCode Behavior Machine Learning System Design
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Interview Statistics
The following metrics were computed from 92 interview experiences for the Meta Machine Learning Engineer role in United States.
Success Rate
Meta's interview process for their Machine Learning Engineer roles in the United States 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 in United States.
Meta Work Experiences
- 3.0Good pay and perks, but high demands and imbalanceMachine Learning Engineer • Former EmployeeSeattle, WAJune 16, 2026Pros: There was good pay, free food, and a good branch name.Cons: There is a high work-life imbalance. It is really demanding.
- 5.0Nice intern experienceMachine Learning Engineer • Former EmployeeSeattle, Washington, United StatesDecember 6, 2021Pros: Big company with very good infrastructure.Cons: Don't have enough communication because of remote work.
- 2.0Very stressful and toxic environmentMachine Learning Engineer • Former EmployeeMarch 15, 2023Pros: - Great benefits - Pay is better than the industry - Interesting and challenging workCons: - Toxic culture where engineers are fighting with each other for scope and impact. - Terrible work-life balance. - Most of the managers are useless, and all the burden is on individual contributors.
Meta Interview Questions
