Machine Learning Scientist Interview Experience - United States
September 7, 2017
Positive ExperienceNo Offer
Process
A recruiter reached out to me.
There is first a phone interview containing two coding questions.
The onsite interview is 4 hours with 4 rounds.
Onsite interview consists of:
- 2 rounds of coding
- 1 round of behavior
- 1 round of machine learning design
Questions
Open-ended machine learning problem
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Meta Machine Learning Scientist role in United States.
Success Rate
0%
Pass Rate
Meta's interview process for their Machine Learning Scientist roles in the United States 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 Scientist interview process in United States.
Meta Work Experiences
5.0
A great place if you want to work in a research-like environment
Machine Learning Scientist • Former Employee
October 8, 2023
Pros: The team consisted of like-minded people (PhDs in machine learning/statistics/mathematics/physics), so communication and collaboration is very similar to what you would typically have if you were in academia. The application process was also one of the best I have ever had. The HR was very responsive, and there are plenty of concrete, helpful preparation tips on their website.
Cons: I can't think of any major cons.
5.0
Good Pay, Culture; Needs Mgmt
Machine Learning Scientist • Former Employee
Los Angeles, California, United States
January 2, 2023
Pros: Good pay, food, and culture
Cons: Need better management.
Immigration process.
5.0
Lots of opportunity
Software Engineer • Current Employee
Remote
December 17, 2022
Pros: Impact on billions of people
Cons: Always being in the news
- 5.0A great place if you want to work in a research-like environmentMachine Learning Scientist • Former EmployeeOctober 8, 2023Pros: The team consisted of like-minded people (PhDs in machine learning/statistics/mathematics/physics), so communication and collaboration is very similar to what you would typically have if you were in academia. The application process was also one of the best I have ever had. The HR was very responsive, and there are plenty of concrete, helpful preparation tips on their website.Cons: I can't think of any major cons.
- 5.0Good Pay, Culture; Needs MgmtMachine Learning Scientist • Former EmployeeLos Angeles, California, United StatesJanuary 2, 2023Pros: Good pay, food, and cultureCons: Need better management. Immigration process.
- 5.0Lots of opportunitySoftware Engineer • Current EmployeeRemoteDecember 17, 2022Pros: Impact on billions of peopleCons: Always being in the news
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