The process started by one of my LinkedIn connections referring me for the position. First I got a screen interview with the recruiter. She was nice and helpful. Then I was given a take home assignment and was given a week to complete it. It was a text-book machine learning assignment that you had to deal with missing values and perform modeling. This was followed by a coding interview, which went pretty well and the person who was interviewing me enjoyed my work. Then, I was told that I have to do another coding interview focusing on machine learning. The interview started with one of the challenging Leetcode examples. I didn't do my best there. Then I was asked some tricky questions about modeling and SQL. Next morning I received rejection email, which I was expecting. Pros of the interview: I learned through the process a lot. The first codepair was very good and I enjoyed it. Take home challenge also provided me with the real-world data and application of machine learning. Cons of the interview: -I felt there is a lack of coordination in Uber's process. For example, I was asked to have a codepair on machine learning concepts, which I prepared myself for, however, I was mainly asked software engineering questions and non-practical statistic concepts. -I felt UberATG R&D is a bit confused about the application of machine learning to this new area and it seems there is no real active project going on. In total, although the process was a good learning experience for the future of my job hunting experience. However, comparing to other companies that I have been applying to, lack of transparency, coordination, and direction in the hiring process of Uber could be frustrating and discouraging.