Meta Software Engineer - Intern interview questions
based on 193 ratings - Updated Jun 8, 2026
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Very positiveinterview experience
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35%
Campus Recruiting
Campus Recruiting
32%
Applied online
Applied online
16%
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Recruiter
16%
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Employee Referral
2%
Other
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Software Engineer - Intern applicants have rated the interview process at Meta with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 58.1% positive. This is according to Glassdoor user ratings.
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I applied through college or university. The process took 4 weeks. I interviewed at Meta in Feb 2014
Interview
Reached out recruiter on campus career fair. Got campus interview and later on-site interview. Since I had another pending offer deadline before the on-site interview date, they rescheduled the on-site interview via phone (which is a pity). The on campus interview (45min) only had one question on whiteboard I made it smoothly. The phone interview, however had two questions in 45min. I spent 30 mins on the first one and didn't finished the second question, but the interviewer was super nice! He gave me some hints on the second one and discussed with me about the question when I knew I already ran out of time. He even answered my question patiently. I had a pending offer deadline and requested a quick feedback, and two days later I got the offer! That was awesome since I didn't expect to get it at first.
Interview questions [1]
Question 1
The phone interview was kind hard and none of them appeared one leetcode etc. But do not stress out since engineers are friendly and helpful.
I applied through college or university. The process took 1 week. I interviewed at Meta
Interview
Two interviews, back to back, 30 minutes each. They were reasonably difficult, but nothing too difficult. Given the time constraint, it can be very hard to through all the questions. Post-interview however, the recruiter took us out to dinner.
Interview questions [1]
Question 1
Typical types of tree questions, such as finding the maximum tree length, closest path to various sets of nodes, along with being able to detect levels of all nodes as efficiently as possible.