AI/ML interview formats and how to prepare
Lesson 2 of 3 in ML Roles & Specializations · 22 minutes
AI/ML interviews are different from general software engineering interviews. ML coding, ML system design, math/stats questions, model deep dives. This lesson maps the formats and prep strategies. This is the one lesson in the track that teaches interview formats and the five-step ML system design framework; the AI Job Search course builds on it with behavioural answers.
What you'll learn
- Recognize the AI/ML interview formats
- Prepare for ML coding (different from Leetcode)
- Prepare for ML system design
- Handle math/stats questions confidently
From the lesson
AI/ML interviews share some patterns with software engineering interviews but add specific ML-focused rounds. Knowing the format reduces stress and lets you prep deliberately. Most loops include 4-7 rounds covering: coding, ML system design, ML depth, behavioural, and (sometimes) take-home model project.
1. The typical ML interview loop
Recruiter phone screen (30 min): Background, fit, English.
Hiring manager screen (30-45 min): Why this role, your projects, basic ML understanding.
Coding (45-60 min): Either Leetcode-style OR ML coding (more on this below).
ML system design (45-60 min): Design an ML system end-to-end.
ML depth / paper discussion (45-60 min): Discuss specific models, papers, or…