Meta Machine Learning Engineer interview questions
Average interview difficulty
Mostly positive interview experience
How others got an interview
- 22%Applied onlineApplied online
- 13%Employee ReferralEmployee Referral
- 1%Campus RecruitingCampus Recruiting
- 1%In PersonIn Person
Interview search
158 interviews
Meta interviews FAQs
- Machine Learning 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 54% positive. To compare, the company-average is 56.5% positive. This is according to Glassdoor user ratings.
- Candidates applying for Machine Learning Engineer roles take an average of 39 days to get hired, when considering 115 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 Machine Learning Engineer according to 115 Glassdoor interviews include:
Phone interview: 34%
Skills test: 20%
One on one interview: 19%
Presentation: 8%
Personality test: 7%
Other: 3%
Background check: 3%
Group panel interview: 3%
IQ intelligence test: 2%
Drug test: 1%
Here are the most commonly searched roles for interview reports -
- Software Engineer(3415) ;
- Data Scientist(472) ;
- Senior Software Engineer(442) ;
- Product Manager(369) ;
- Software Engineer(Internship)(351) ;
- Technical Sourcer(344) ;
- Program Manager(342) ;
- Data Engineer(276) ;
- Project Manager(251) ;
- Account Manager(232) ;
- Recruiter(232) ;
- Software Engineer Intern(222) ;
- Technical Recruiter(211) ;
- Research Scientist(206) ;
- SWE Intern(195) .
