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.
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.
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 first-round interview consisted of behavioral and technical questions. The behavioral questions focused on past experiences, and they asked standard LeetCode-style questions. Be sure to prepare thoroughly for the behavioral portion, as follow-u
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.
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 first-round interview consisted of behavioral and technical questions. The behavioral questions focused on past experiences, and they asked standard LeetCode-style questions. Be sure to prepare thoroughly for the behavioral portion, as follow-u