I worked within the Natural Language Understanding group at Alexa. The pay was great, and I got to work with really great people.
The problem space was extremely ambiguous, and sometimes it felt like we were just throwing lots of things at the wall to see what would stick.
Call with a recruiter, followed by a technical interview. The technical interview covered broad Machine Learning questions, then the coding part. The problem required prior knowledge of a calculus theorem, which, in my opinion, was not fair.
The interview process was nice and clear. I had two rounds of interviews for the internship position. Both rounds were technical interviews. They asked about my research experience and a case study. Both included programming questions.
There were a couple of LeetCode Easy difficulty problems. The task was to explain the algorithm, write the code in a language of your choice, and then declare the time and space complexity of your algorithm. Moreover, there were a couple of behavio
Call with a recruiter, followed by a technical interview. The technical interview covered broad Machine Learning questions, then the coding part. The problem required prior knowledge of a calculus theorem, which, in my opinion, was not fair.
The interview process was nice and clear. I had two rounds of interviews for the internship position. Both rounds were technical interviews. They asked about my research experience and a case study. Both included programming questions.
There were a couple of LeetCode Easy difficulty problems. The task was to explain the algorithm, write the code in a language of your choice, and then declare the time and space complexity of your algorithm. Moreover, there were a couple of behavio