Detailed questions regarding ML. Questions are fair and technical. Phone screening after talking to the recruiter. Be prepared for practical questions with answers that only come from experience. The coding question was challenging.

Applied online. The interview process consists of 1-2 technical phone screens. One involved an in-depth discussion about my machine learning project and coding. Another one was an open ended technical discussion about solving one of their machine learning tasks. There were 4 onsite interviews, 45 minutes each. Two of them were coding (Leetcode medium), one was a technical discussion about one of their projects and another one was about general machine learning/deep learning concepts. Overall, the interviews were technical and well structured. Good preparation would be required.

The interview process consists of 1 or 2 technical phone screens and 4 onsite interviews, 45 minutes each. One phone screen involved technical, in-depth discussions about my machine learning projects and coding. Another one was a classic open ended, end-to-end data science workflow type discussion about a project they are working on. The onsite interviews were all technical. Two whiteboard coding rounds (Leetcode Medium), one open ended technical discussion about their projects and one general machine learning/deep learning fundamentals round. Overall, the interviews were oriented technically and good preparation will be necessary. Very professional and neatly organized by the recruiter as well.