Machine Learning Engineer Interview Experience - Seattle, Washington
Process
A very proactive and friendly company.
My suggestion is to prepare on LeetCode for 200 problems so you gain confidence in seeing different kinds of problems.
For the phone screen and onsite interviews, you can pick an onsite date at your own convenience. Do not rush.
Questions
This is a variation of the "Number of Islands" LeetCode question.
You have a house, a well, and a tree arranged in a large grid with empty spaces in between to show where you can go.
How will you go from the house to the nearest well without hitting a tree?
Assume you can only move up, down, left, or right (not diagonally), and you cannot hit a tree; if you do, you must backtrack.
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Interview Statistics
The following metrics were computed from 8 interview experiences for the Meta Machine Learning Engineer role in Seattle, Washington.
Success Rate
Meta's interview process for their Machine Learning Engineer roles in Seattle, Washington is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in Seattle, Washington.
Meta Work Experiences
- 4.0Good Pay, Lacking FulfillmentMachine Learning Engineer • Former EmployeeSeattle, Washington, United StatesDecember 9, 2022Pros: High pay for sure, and very good perks.Cons: Not much autonomy. The work does not feel satisfying.
- 5.0Nice intern experienceMachine Learning Engineer • Former EmployeeSeattle, Washington, United StatesDecember 6, 2021Pros: Big company with very good infrastructure.Cons: Don't have enough communication because of remote work.
- 5.0Great Perks, Intense CultureMachine Learning Engineer • Current EmployeeSeattle, Washington, United StatesFebruary 3, 2025Pros: Great perks, food on campus.Cons: High performance culture every year
Meta Interview Questions
