Step into a comprehensive interview experience where you'll design a real-time ETA prediction system for a maps application, just like those used by top tech companies. You'll tackle each stage of the system—from defining requirements to deploying robust machine learning models—mirroring the challenges faced by engineers building large-scale, data-driven products. The session is structured to simulate a high-stakes, real-world interview, with a mix of direct, creative, and probing questions that adapt to your experience level.

Get ready to engage in a dynamic conversation, sketch out system diagrams, and reason through trade-offs and edge cases. The interview flows naturally, keeping you on your toes with curveballs and follow-ups that test both your technical depth and your ability to communicate complex ideas clearly.

Here’s what you’ll sharpen during this session:

• Defining system requirements and user needs for ETA prediction.
• Designing scalable data pipelines and robust model architectures.
• Training, evaluating, and deploying ML models for real-time applications.
• Handling unexpected scenarios and making critical design trade-offs.

By the end, you’ll be better equipped to approach system design interviews with confidence, ready to articulate and defend your solutions for complex, real-world ML challenges.