Machine Learning Engineer Interview Experience - Menlo Park, California
January 1, 2018
Positive ExperienceNo Offer
Process
I was contacted by the recruiter regarding a position of SDE for machine learning through LinkedIn.
After my response, the recruiter helped set up the phone interview, as well as the job description and some useful information about the interview process.
Questions
Serialize and deserialize a binary tree.
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Interview Statistics
The following metrics were computed from 11 interview experiences for the Meta Machine Learning Engineer role in Menlo Park, California.
Success Rate
27%
Pass Rate
Meta's interview process for their Machine Learning Engineer roles in Menlo Park, California is very selective, failing most engineers who go through it.
Experience Rating
Positive73%
Neutral18%
Negative9%
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in Menlo Park, California.
Meta Work Experiences
5.0
Brilliant Team, Frequent Reorgs
Machine Learning Engineer • Current Employee
Menlo Park, California, United States
March 15, 2024
Pros: Really brilliant coworkers doing amazing things. Some managers really know their tech, so it's very easy to get guidance.
Cons: Too much reorg. People are still on the previous project and get reorged into other teams.
4.0
Great learning experience
Machine Learning Engineer • Former Employee
Menlo Park, California, United States
March 23, 2023
Pros: A fast-growing environment for high performers, with an open and transparent work culture.
Cons: Too fast for medium/low performers.
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.
- 5.0Brilliant Team, Frequent ReorgsMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesMarch 15, 2024Pros: Really brilliant coworkers doing amazing things. Some managers really know their tech, so it's very easy to get guidance.Cons: Too much reorg. People are still on the previous project and get reorged into other teams.
- 4.0Great learning experienceMachine Learning Engineer • Former EmployeeMenlo Park, California, United StatesMarch 23, 2023Pros: A fast-growing environment for high performers, with an open and transparent work culture.Cons: Too fast for medium/low performers.
- 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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