Machine Learning Engineer Interview Experience - Portugal
October 1, 2021
Positive ExperienceNo Offer
Process
Smooth and timely. The recruiter left the company, but assistance from another recruiter was provided very soon. Overall, I am satisfied.
The headcount is a concern, however. I did not continue to the team match.
Questions
Tell me about your past experience.
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Meta Machine Learning Engineer role in Portugal.
Success Rate
0%
Pass Rate
Meta's interview process for their Machine Learning Engineer roles in Portugal is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in Portugal.
Meta Work Experiences
4.0
Efficient, Collaborative, But Demanding
Machine Learning Engineer • Former Employee
New York, New York, United States
September 13, 2025
Pros: efficient
well-paid
collaborative environment
Cons: On site.
Long hours.
Competition high.
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.
3.0
Toxic culture in Ads
Machine Learning Engineer • Current Employee
Menlo Park, California, United States
June 2, 2024
Pros: You can learn many advanced ML techniques.
Cons: You won't have time to learn.
- 4.0Efficient, Collaborative, But DemandingMachine Learning Engineer • Former EmployeeNew York, New York, United StatesSeptember 13, 2025Pros: efficient well-paid collaborative environmentCons: On site. Long hours. Competition high.
- 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.
- 3.0Toxic culture in AdsMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesJune 2, 2024Pros: You can learn many advanced ML techniques.Cons: You won't have time to learn.
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