Process
- 2-3 technical video interviews
- Standard 5-minute introduction
- Medium/Hard LeetCode problem
- 15 minutes to talk about anything you want
In my first interview, the interviewer gave me a copy-paste LeetCode Hard problem and seemed rather disinterested (solve it, and you're good).
The second interview was an easier question, but the interviewer was more involved and asked questions along the way.
Questions
Cannot answer due to non-disclosure agreement.
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Interview Statistics
The following metrics were computed from 17 interview experiences for the Snap Software Engineer (Internship) role in United States.
Success Rate
41%
Pass Rate
Snap's interview process for their Software Engineer (Internship) roles in the United States is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Positive71%
Neutral18%
Negative12%
Candidates reported having very good feelings for Snap's Software Engineer (Internship) interview process in United States.
Snap Work Experiences
2.0
Friendly Team, Unstable Management
Software Engineer • Former Employee
None
March 5, 2024
Pros: Lots of friendly engineers, pay was okay in theory.
Cons: Management is unstable, which reflects on the company as a whole. Every week, we would get an email about senior position changes and reorganizations.
The pay is too heavily reliant on unreliable stock.
3.0
Great Talent, Poor Leadership
Machine Learning Engineer • Current Employee
Santa Monica, California, United States
March 8, 2023
Pros: - Benefits and perks
- Compensation
- High density of great talent
Cons: - No vision
- Lackluster and incompetent leadership
- Bad WLB
3.0
Alright, But Has Problems
Senior MLE • Former Employee
Santa Monica, California, United States
February 9, 2024
Pros: n/a n/a n/a n/a n/a
Cons: It's alright, but there are problems.
- 2.0Friendly Team, Unstable ManagementSoftware Engineer • Former EmployeeNoneMarch 5, 2024Pros: Lots of friendly engineers, pay was okay in theory.Cons: Management is unstable, which reflects on the company as a whole. Every week, we would get an email about senior position changes and reorganizations. The pay is too heavily reliant on unreliable stock.
- 3.0Great Talent, Poor LeadershipMachine Learning Engineer • Current EmployeeSanta Monica, California, United StatesMarch 8, 2023Pros: - Benefits and perks - Compensation - High density of great talentCons: - No vision - Lackluster and incompetent leadership - Bad WLB
- 3.0Alright, But Has ProblemsSenior MLE • Former EmployeeSanta Monica, California, United StatesFebruary 9, 2024Pros: n/a n/a n/a n/a n/aCons: It's alright, but there are problems.
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