Software Engineer Intern, Machine Learning (PhD) Interview Experience - United States
February 1, 2024
Positive ExperienceNo Offer
Process
Two rounds of 45-minute phone screens with 15 minutes of rest in the middle.
Each round includes two LeetCode questions.
They expect you to solve each question within 20 minutes, leaving 5 minutes for you to ask questions.
Questions
LC 199, 346, 680, 987
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Interview Statistics
The following metrics were computed from 3 interview experiences for the Meta Software Engineer Intern, Machine Learning (PhD) role in United States.
Success Rate
33%
Pass Rate
Meta's interview process for their Software Engineer Intern, Machine Learning (PhD) roles in the United States is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Meta's Software Engineer Intern, Machine Learning (PhD) interview process in United States.
Meta Work Experiences
5.0
Good Pay, Short But Stable
Software Engineer Intern, Machine Learning (PhD) • Former Employee
Menlo Park, California, United States
September 23, 2025
Pros: Nice intern manager. Good pay. Decent amount of housing ($3700/month).
Cons: Short duration (12 weeks).
Frequent reorg (3 times during summer 2025).
5.0
Lots of opportunity
Software Engineer • Current Employee
Remote
December 17, 2022
Pros: Impact on billions of people
Cons: Always being in the news
5.0
Great Experience, Slowed By Red Tape
Machine Learning Engineer • Current Employee
Remote
December 14, 2022
Pros: Lots of opportunities for gaining experience.
Cons: Too much red tape slows progress.
- 5.0Good Pay, Short But StableSoftware Engineer Intern, Machine Learning (PhD) • Former EmployeeMenlo Park, California, United StatesSeptember 23, 2025Pros: Nice intern manager. Good pay. Decent amount of housing ($3700/month).Cons: Short duration (12 weeks). Frequent reorg (3 times during summer 2025).
- 5.0Lots of opportunitySoftware Engineer • Current EmployeeRemoteDecember 17, 2022Pros: Impact on billions of peopleCons: Always being in the news
- 5.0Great Experience, Slowed By Red TapeMachine Learning Engineer • Current EmployeeRemoteDecember 14, 2022Pros: Lots of opportunities for gaining experience.Cons: Too much red tape slows progress.
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