Process
The interview process consists of two rounds:
A technical screen with two questions, lasting under 45 minutes.
A virtual onsite, including one ML design interview, one behavioral interview, and two coding rounds.
Questions
LeetCode Mediums: Binary Search and Data Structures
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Interview Statistics
The following metrics were computed from 1 interview experience for the Meta MLE/RS role in United States.
Success Rate
0%
Pass Rate
Meta's interview process for their MLE/RS roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral100%
Negative0%
Candidates reported having mixed feelings for Meta's MLE/RS interview process in United States.
Meta Work Experiences
4.0
Good environment and technical skills
MLE/RS • Current Employee
San Francisco, California, United States
October 9, 2024
Pros: A positive experience with strong technical colleagues and projects.
Cons: Too much work and need to work overtime a lot.
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
5.0
Great Experience, Slowed By Red Tape
Machine Learning Engineer • Current Employee
Remote
December 14, 2022
Pros: Lots of opportunities for gaining experience.
Cons: Too much red tape slows progress.
- 4.0Good environment and technical skillsMLE/RS • Current EmployeeSan Francisco, California, United StatesOctober 9, 2024Pros: A positive experience with strong technical colleagues and projects.Cons: Too much work and need to work overtime a lot.
- 5.0Lots of opportunitySoftware Engineer • Current EmployeeRemoteDecember 17, 2022Pros: Impact on billions of peopleCons: Always being in the news
- 5.0Great Experience, Slowed By Red TapeMachine Learning Engineer • Current EmployeeRemoteDecember 14, 2022Pros: Lots of opportunities for gaining experience.Cons: Too much red tape slows progress.
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