Machine Learning Engineer Interview Experience - Seattle, Washington
April 1, 2018
Negative ExperienceNo Offer
Process
The recruiter contacted me via email, and then we set up a phone interview. After the phone interview, I was invited to an onsite interview. The phone interview questions were coding-related.
The onsite interview took one day and consisted of 6 rounds.
Questions
LeetCode coding question.
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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
38%
Pass 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
Positive88%
Neutral0%
Negative13%
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in Seattle, Washington.
Meta Work Experiences
5.0
Nice intern experience
Machine Learning Engineer • Former Employee
Seattle, Washington, United States
December 6, 2021
Pros: Big company with very good infrastructure.
Cons: Don't have enough communication because of remote work.
4.0
Good Benefits, Stressful Balance
Machine Learning Engineer • Former Employee
Seattle, Washington, United States
September 11, 2019
Pros: Good benefit, free food, Lyft credit.
Cons: Work-life balance is not good; it's stressful every day.
5.0
Hard work while being treated well
Machine Learning Engineer • Current Employee
Seattle, Washington, United States
April 10, 2020
Pros: Fair evaluations, challenging problems, supportive peers and managers.
Cons: The competitive environment pushes some people to work extra hours.
- 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.
- 4.0Good Benefits, Stressful BalanceMachine Learning Engineer • Former EmployeeSeattle, Washington, United StatesSeptember 11, 2019Pros: Good benefit, free food, Lyft credit.Cons: Work-life balance is not good; it's stressful every day.
- 5.0Hard work while being treated wellMachine Learning Engineer • Current EmployeeSeattle, Washington, United StatesApril 10, 2020Pros: Fair evaluations, challenging problems, supportive peers and managers.Cons: The competitive environment pushes some people to work extra hours.
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