Process
Entered OA, and then final VO. Failed on one LeetCode.
HR was very nice, but once you failed, she ghosted you with no feedback.
The overall interview took very long because they ran out of interviewers.
Questions
Similar to Palindrome II on LeetCode.
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
5.0
Excellent Workplace, Highly Recommended
Machine Learning Engineer • Current Employee
New Delhi, Delhi, India
June 20, 2024
Pros: Nice workplace and environment to work.
Cons: Not much as such here.
5.0
n/a
Machine Learning Engineer • Current Employee
October 10, 2023
Pros: Move fast and fail fast.
Cons: Lack of planning sometimes. Some managers are not mature enough to be a good lead.
4.0
Learn a lot in Ads
Machine Learning Engineer • Current Employee
New York, New York, United States
June 27, 2025
Pros: Work with really talented people on the team.
Lot of work to be done (no in-team scope fighting).
Cons: Getting stuff done can be tricky due to XFN teams owning products useful for submitting flows.
A lot of pressure on impact.
Ramp-up can be very difficult for an E5.
- 5.0Excellent Workplace, Highly RecommendedMachine Learning Engineer • Current EmployeeNew Delhi, Delhi, IndiaJune 20, 2024Pros: Nice workplace and environment to work.Cons: Not much as such here.
- 5.0n/aMachine Learning Engineer • Current EmployeeOctober 10, 2023Pros: Move fast and fail fast.Cons: Lack of planning sometimes. Some managers are not mature enough to be a good lead.
- 4.0Learn a lot in AdsMachine Learning Engineer • Current EmployeeNew York, New York, United StatesJune 27, 2025Pros: Work with really talented people on the team. Lot of work to be done (no in-team scope fighting).Cons: Getting stuff done can be tricky due to XFN teams owning products useful for submitting flows. A lot of pressure on impact. Ramp-up can be very difficult for an E5.
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
