Software Engineer Intern, Machine Learning (PhD) Interview Experience - United States
Process
A basic introduction from the recruiter at the beginning of the interview, covering their role and seniority at Meta, followed by coding questions on data structures and algorithms. The coding questions revolved around the following concepts:
- Hash Tables
- Graphs
- Binary Trees
Questions
Given an integer array nums and an integer target, find two integers in nums such that their sum is closest to target.
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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
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
Candidates reported having very good feelings for Meta's Software Engineer Intern, Machine Learning (PhD) interview process in United States.
Meta Work Experiences
- 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.
Meta Interview Questions
