Meta AI Engineer Interview Preparation Guide - Junior Level
AI Engineer
Meta
Junior
8 rounds
Updated 11/23/2025
Meta's AI Engineer interview process for junior-level candidates consists of an initial recruiter screening, followed by one to two technical phone screens focused on coding and machine learning fundamentals, and a comprehensive onsite loop with four to five interview rounds. The onsite rounds assess coding proficiency, machine learning system design, deep learning knowledge, and cultural fit through behavioral interviews. The entire process typically spans 4-6 weeks from initial application to final decision.
Interview Rounds
1
Recruiter Screening
30 min4 focus topicsculture fit
2
Technical Phone Screen - Coding Fundamentals
45 min5 focus topicstechnical
3
Technical Phone Screen - Machine Learning Concepts
45 min5 focus topicstechnical
4
Onsite Interview Round 1 - Coding with Data Structures
45 min5 focus topicstechnical
5
Onsite Interview Round 2 - Algorithm Design and Optimization
45 min5 focus topicstechnical
6
Onsite Interview Round 3 - Machine Learning System Design
45 min5 focus topicssystem design
7
Onsite Interview Round 4 - Deep Learning and Neural Networks
45 min5 focus topicstechnical
8
Onsite Interview Round 5 - Behavioral and Cultural Fit
45 min5 focus topicsbehavioral
Additional Information