Machine Learning Engineer Interview Experience - Russia
November 28, 2018
Positive ExperienceGot Offer
Process
45-minute one-on-one interview, two coding tasks (fairly easy), one question about the background, one about recent projects. The feedback was given the same day. Video call is setup via BlueJeans, coding is done via CoderPad.
Questions
Anagram Substring Search.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Meta Machine Learning Engineer role in Russia.
Success Rate
100%
Pass Rate
Meta's interview process for their Machine Learning Engineer roles in Russia is incredibly easy as the vast majority of engineers get an offer after going through it.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in Russia.
Meta Work Experiences
5.0
Hopefully, stocks go up
Machine Learning Engineer • Current Employee
January 30, 2023
Pros: Interesting projects, great compensation, and a nice tech stack.
Cons: Work-life balance can be tough. Performance and standards can be tough.
4.0
Good opportunities but a rough time for the company
Machine Learning Engineer • Current Employee
December 5, 2022
Pros: Great work opportunities. Good pay, except for the stock drop. Smart coworkers. Good food.
Cons: Morale after stock and layoffs. Things are in flux. Worried about more job cuts.
5.0
Energized Culture, Mature Products
Machine Learning Engineer • Former Employee
Menlo Park, California, United States
August 18, 2024
Pros: Good culture, energy, and work.
Cons: Mature products, I guess, is a con.
- 5.0Hopefully, stocks go upMachine Learning Engineer • Current EmployeeJanuary 30, 2023Pros: Interesting projects, great compensation, and a nice tech stack.Cons: Work-life balance can be tough. Performance and standards can be tough.
- 4.0Good opportunities but a rough time for the companyMachine Learning Engineer • Current EmployeeDecember 5, 2022Pros: Great work opportunities. Good pay, except for the stock drop. Smart coworkers. Good food.Cons: Morale after stock and layoffs. Things are in flux. Worried about more job cuts.
- 5.0Energized Culture, Mature ProductsMachine Learning Engineer • Former EmployeeMenlo Park, California, United StatesAugust 18, 2024Pros: Good culture, energy, and work.Cons: Mature products, I guess, is a con.
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