I applied online.

The interview process had four rounds:

• The first round was a short phone screen with the recruiter.
• The second round focused on my technical background and past machine learning work.
• The third round was a live coding session with data preprocessing, model design, and error analysis.
• The final round was a panel interview that included a system design discussion, a behavioral section, and a deep dive into one of my past projects.

The team explained the structure clearly and helped set expectations at each step.

They asked me to explain a complex ML project in simple language, including the problem, the approach, and the business impact.

I answered by walking through a project where I built a predictive model from raw data, explained why I chose a certain algorithm, described how I handled model performance issues, and shared the final results and impact.