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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

2

Technical Phone Screen

3

Onsite Interview - Coding Round 1

4

Onsite Interview - Coding Round 2

5

Onsite Interview - ML System Design Round 1

6

Onsite Interview - ML System Design Round 2

7

Onsite Interview - Behavioral Round

8

Onsite Interview - Technical Leadership and Architecture Round

Additional Information

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