Process
I was recruited on LinkedIn. The first interview was a standard code interview; however, I barely understood a word of what the interviewer said. I was underprepared and nervous, and well, you get the picture. It was a total mess.
Questions
Design a data structure that supports insert, delete, search, and get random in constant time.
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Meta Machine Learning Engineer role in Brazil.
Success Rate
0%
Pass Rate
Meta's interview process for their Machine Learning Engineer roles in Brazil is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive50%
Neutral0%
Negative50%
Candidates reported having mixed feelings for Meta's Machine Learning Engineer interview process in Brazil.
Meta Work Experiences
2.0
Smart team and ownership, but toxic culture persists
Machine Learning Engineer • Former Employee
Seattle, WA
May 21, 2026
Pros: Smart people.
Fast-paced.
Ownership.
Cons: Toxic culture.
Too much focus on impact.
3.0
Good pay and perks, but high demands and imbalance
Machine Learning Engineer • Former Employee
Seattle, WA
June 16, 2026
Pros: There was good pay, free food, and a good branch name.
Cons: There is a high work-life imbalance. It is really demanding.
4.0
All right, place to work
Machine Learning Engineer • Current Employee
Bellevue, Washington, United States
March 8, 2025
Pros: 1. Work is pretty interesting and enjoyable.
2. Compensation is not bad.
Cons: 1. Tons of politics and scope stealing, which makes the enjoyable work feel much less rewarding.
2. Diversity issues: I was the only person on a team of 10 who couldn't speak a certain language and was frequently left out of discussions.
- 2.0Smart team and ownership, but toxic culture persistsMachine Learning Engineer • Former EmployeeSeattle, WAMay 21, 2026Pros: Smart people. Fast-paced. Ownership.Cons: Toxic culture. Too much focus on impact.
- 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.
- 4.0All right, place to workMachine Learning Engineer • Current EmployeeBellevue, Washington, United StatesMarch 8, 2025Pros: 1. Work is pretty interesting and enjoyable. 2. Compensation is not bad.Cons: 1. Tons of politics and scope stealing, which makes the enjoyable work feel much less rewarding. 2. Diversity issues: I was the only person on a team of 10 who couldn't speak a certain language and was frequently left out of discussions.
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