Microsoft Machine Learning Engineer (Senior Level) - Comprehensive Interview Preparation Guide

Microsoft's Machine Learning Engineer interview process for senior-level candidates is a comprehensive, multi-stage evaluation designed to assess technical depth, system design thinking, production experience, and cultural fit. The process typically spans 4-6 weeks and includes an initial recruiter screen, a timed online assessment, a technical phone screen, and 5 onsite interview rounds conducted virtually or in-person. Each round evaluates different competencies: foundational coding skills, core machine learning theory, system-level design thinking, behavioral characteristics, and business acumen. Senior-level candidates are expected to demonstrate expertise in designing scalable ML systems, understanding production constraints, mentoring capabilities, and the ability to balance technical excellence with business value.