FAANG-Standard Machine Learning Engineer Interview Preparation Guide - Entry Level
Machine Learning Engineer
entry
6 rounds
Updated 11/23/2025
This guide is based on general FAANG interview practices and may not reflect specific company procedures.
Entry-level ML Engineer interviews at FAANG companies typically follow a structured progression: an initial recruiter screening to assess background and fit, followed by 1-2 technical phone screens testing Python fundamentals and core ML concepts, then 2-3 onsite/virtual rounds covering ML algorithm implementation, production systems, and behavioral assessment. The entire process evaluates your foundational ML knowledge, coding ability in Python, understanding of the ML lifecycle from development to deployment, and cultural alignment with company values.
Interview Rounds
1
Recruiter Screening
20 min4 focus topicsbehavioral
2
Technical Phone Screen 1: Python Fundamentals and Data Structures
60 min6 focus topicstechnical
3
Technical Phone Screen 2: Machine Learning Fundamentals and Concepts
60 min8 focus topicstechnical
4
Onsite Round 1: Machine Learning Algorithm and Coding Problem
60 min8 focus topicstechnical
5
Onsite Round 2: Machine Learning Systems and Production Deployment
60 min8 focus topicstechnical
6
Onsite Round 3: Behavioral and Cultural Fit Assessment
45 min7 focus topicsbehavioral
Additional Information