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Introduction

Machine learning interviews are brutal—and most engineers prep for them the wrong way. This course flips that on its head. Here’s what's covered in this lesson:

  • Your instructor Yayun Jin walks you through her background as an ML lead who’s been on both sides of the interview table. She goes through her journey breaking into the ML world, working across startups and big tech, and interviewing 100+ ML candidates.
  • You’ll learn why most prep strategies fail: They're too scattered, too theoretical, and completely disconnected from how interviews actually work.
  • We’ll walk you through the course game plan so you know exactly what to expect:
    • 🧭 Learn how to prep for ML interviews with structure instead of chaos

    • 🔍 Understand key differences between ML roles (ML engineer, infra, AI engineer) so you don’t waste time on irrelevant material

    • 🧱 See what great performance looks like in each interview type: coding, modeling, system design, and behavioral

    • 🚀 Get actionable prep tactics tailored for both current ML pros and SWE-to-ML switchers

    • 🎯 Understand how expectations shift based on seniority—so you’re not prepping like a junior when you’re going for a senior role

If you want to learn even more from Yayun: