Software Engineer applicants have rated the interview process at Meta with 3.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 56% positive. To compare, the company-average is 56.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Software Engineer roles take an average of 27 days to get hired, when considering 2,263 user submitted interviews for this role. To compare, the hiring process at Meta overall takes an average of 31 days.
Common stages of the interview process at Meta as a Software Engineer according to 2,263 Glassdoor interviews include:
Phone interview: 39%
One on one interview: 24%
Skills test: 15%
Presentation: 8%
Background check: 4%
Group panel interview: 3%
Personality test: 3%
IQ intelligence test: 2%
Drug test: 1%
Other: 1%
Here are the most commonly searched roles for interview reports -
I applied through an employee referral. I interviewed at Meta (San Francisco, CA) in Oct 2017
Interview
Standard leet-code style questions, using graphs, trees, and dynamic programming. Medium to hard difficulty. Had an extra round since I was a borderline candidate. Got a campus tour and the food was great. Interviewers were fun to talk to.
Interview questions [1]
Question 1
Standard leet-code questions. Had an extra round since I was borderline.
The process is straightforward and designed to help us get to know each other. It moves through a few stages at a comfortable pace, involves conversations with several team members, and focuses on making sure it's a good mutual fit.
I applied through a recruiter. I interviewed at Meta
Interview
Had an initial recuriter call and then scheduled a coding round with 2 leetcode questions. Practicing Meta-tagged leetcode questions would help prepare for this round. Interviewers expect clear communication and code.
Generic LeetCode-style questions, many tagged as Meta, so extensive preparation is required to perform well in the technical interview. The experience varies significantly - some interviewers provide hints and guidance, while others expect candidates to solve problems independently with minimal assistance.