Round Structure

Here’s a summary of what we should expect and aim to convey in the Project Deep Dive and Behavioral Interview Round—a conversational but highly valuable part of the ML interview process.

• We’re expected to go beyond surface-level descriptions and deeply explain a past ML project, including the problem, our solution, and the technical trade-offs we made.
• This is our chance to show real-world impact, how we debugged challenges, optimized performance, or iterated on feedback.
• For ML infrastructure roles, we should be ready to discuss tools or systems we built (e.g. training pipelines, feature stores), and how they enabled or scaled team productivity.
• Strong performance in this round depends on clarity, structure, and storytelling—connecting technical depth with our thought process and decision-making.
• Ultimately, it’s about showing that we not only built things, but thought critically and communicated effectively through the process.

If you want to learn even more from Yayun:

• Book 1 on 1 career guidance with her here: https://calendly.com/your-friend-yayun/1on1
• Follow her on LinkedIn: https://www.linkedin.com/in/yayunjin/