Process
Two rounds of LeetCode and one round of System Design.
Focus areas included feature engineering and candidate retrieval.
Basic knowledge of ML systems was expected at the end of each interview.
Nothing unexpected occurred in any of the interviews.
Questions
What are ways to counter overfitting?
Was this helpful?
Interview Statistics
The following metrics were computed from 92 interview experiences for the Meta Machine Learning Engineer role in United States.
Success Rate
11%
Pass Rate
Meta's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive53%
Neutral26%
Negative21%
Candidates reported having very good feelings for Meta's Machine Learning Engineer interview process in United States.
Meta Work Experiences
3.0
Great pay, too much pressure
Machine Learning Engineer • Current Employee
Menlo Park, California, United States
May 12, 2025
Pros: Pay is competitive. Work on state-of-the-art AI.
Cons: No work-life balance; everyone cares about short-term goals only.
4.0
Experience at Meta
Machine Learning Engineer • Current Employee
Menlo Park, California, United States
October 23, 2024
Pros: 1. Employees get to work on cutting-edge projects that influence billions of users worldwide, providing ample opportunities for growth and learning in groundbreaking fields.
2. Employees feel a strong sense of accomplishment knowing their work can have a direct impact on global communication, social interaction, and business.
3. Meta is known for offering high salaries, stock options, and comprehensive benefits packages.
Cons: 1. Work-Life Balance Challenges
2. Fast-paced environment.
5.0
Great Pay, Challenging Balance
Machine Learning Engineer • Former Employee
London, England, United Kingdom
February 20, 2023
Pros: Great salary and equity package.
Good transportation support.
Cons: Work-life balance could be better.
- 3.0Great pay, too much pressureMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesMay 12, 2025Pros: Pay is competitive. Work on state-of-the-art AI.Cons: No work-life balance; everyone cares about short-term goals only.
- 4.0Experience at MetaMachine Learning Engineer • Current EmployeeMenlo Park, California, United StatesOctober 23, 2024Pros: 1. Employees get to work on cutting-edge projects that influence billions of users worldwide, providing ample opportunities for growth and learning in groundbreaking fields. 2. Employees feel a strong sense of accomplishment knowing their work can have a direct impact on global communication, social interaction, and business. 3. Meta is known for offering high salaries, stock options, and comprehensive benefits packages.Cons: 1. Work-Life Balance Challenges 2. Fast-paced environment.
- 5.0Great Pay, Challenging BalanceMachine Learning Engineer • Former EmployeeLondon, England, United KingdomFebruary 20, 2023Pros: Great salary and equity package. Good transportation support.Cons: Work-life balance could be better.
Meta Interview Questions
Explore Interview QuestionsTaro 75Google Interview QuestionsMeta Interview QuestionsAmazon Interview QuestionsApple Interview QuestionsNetflix Interview Questions
Explore Interview ExperiencesOpenAI Interview ExperiencesAnthropic Interview ExperiencesPerplexity Interview ExperiencesWindsurf Interview ExperiencesMistral AI Interview Experiences
