Meta Machine Learning Engineer interview questions
based on 159 ratings - Updated May 31, 2026
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62%
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Machine Learning Engineer applicants have rated the interview process at Meta with 4 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 44% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 21 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Meta overall takes an average of 36 days.
Common stages of the interview process at Meta as a Machine Learning Engineer according to 1 Glassdoor interviews include:
Phone interview: 50%
Skills test: 50%
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I applied through a recruiter. The process took 4 weeks. I interviewed at Meta
Interview
Foram 3 entrevistas. A primeira foi de fit cultural e personalidade diretamente com o recrutador em inglês e durou quase 1 hora. Bem desafiadora. A segunda entrevista foi técnica, onde tive que codificar algoritmos para resolver 2 problemas com linguagem de programação. Durou 45 minutos. Fui bem nessa entrevista, porém não o suficiente para ser aprovado, então me deram uma terceira entrevista aos moldes da segunda, como forma de desempate. Infelizmente, não fui aprovado, mas tive o apoio e retorno em todas as etapas, sem demora.
I applied through a recruiter. The process took 4 weeks. I interviewed at Meta in Aug 2022
Interview
First, multiple calls with recruiters. Then, two rounds of coding interview as the first round. Finally, four rounds of coding, system design and ML design as the final round. Overal, a normal interview process and recuriters had been quite helpful along the way.
Interview questions [1]
Question 1
Desigining Scalabale Machine Learning based solution for a regualr usecase
I applied online. The process took 4 weeks. I interviewed at Meta (San Francisco, CA) in Nov 2021
Interview
The interview was difficult. The first stage was a phone interview with behavioral questions, followed by online assessment for coding. The technical interview on site was the hardest, I was asked two leetcode type questions which would be classified as "hard".