Meta Machine Learning Engineer (Staff Level) Interview Preparation Guide
Machine Learning Engineer
Meta
Staff
8 rounds
Updated 11/23/2025
Meta's Machine Learning Engineer interview process for Staff-level candidates combines phone-based technical screening with a comprehensive onsite loop designed to evaluate technical depth, system design expertise, architectural thinking, and cultural fit. The process assesses candidates' ability to design and deploy large-scale ML systems, optimize for production performance, mentor engineers, and lead complex technical initiatives with cross-functional teams. Staff-level candidates should expect rigorous evaluation across coding fundamentals, advanced system design, and strategic technical thinking.[1][2][4]
Interview Rounds
1
Recruiter Screening
30 min4 focus topicsculture fit
2
Technical Phone Screen
45 min5 focus topicstechnical
3
Onsite Interview - Coding Round 1
45 min4 focus topicstechnical
4
Onsite Interview - Coding Round 2
45 min4 focus topicstechnical
5
Onsite Interview - ML System Design Round 1
45 min6 focus topicssystem design
6
Onsite Interview - ML System Design Round 2
45 min5 focus topicssystem design
7
Onsite Interview - Behavioral Round
45 min6 focus topicsbehavioral
8
Onsite Interview - Technical Leadership and Architecture Round
45 min5 focus topicssystem design
Additional Information