- First round was a ~45-min presentation on a prior project. - One design question with the hiring manager seeing how I would approach the problem they are working on. This was the most technically difficult interview - One leetcode medium question with a software engineer. - Other rounds were a mix of behavioral questions and technical questions about CV/ML. - Each round had multiple behavioral questions (maybe half the time or more). I could tell they wanted me to be specific on my direct involvement and were gauging both how well I handled certain situations and how I could explain my core values. Overall not a very difficult interview, as long as you have solid examples for the behavioral questions/leadership principles. The technical aspect was actually far easier than several other non-FAANG companies I interviewed with.
Applied Research Scientist Interview Questions
277 applied research scientist interview questions shared by candidates
Random forest vs decision tree
How do you deal with categorical variables in logistics regression?
Amazon Leadership principles: Leaders are right, a lot Leaders keep moving forward etc.
Describe a time that you did not meet a deadline?
Textbook machine learning questions based on online courses.
As they described in the given resources
Describe a past project. Simple science questions on the topic of the position.
Some ml questions, some algorithm questions
Tell about your machine learning background
Viewing 141 - 150 interview questions
See Interview Questions for Similar Jobs
Jr Data ScientistApplied ScientistData Scientist TraineeSr Data ScientistDeep Learning ScientistApplied ResearchDeep Learning Research EngineerSenior Machine Learning ScientistData SciencesJunior Machine Learning EngineerResearch Scientist Machine LearningData Science EngineerAi Machine Learning EngineerNlp Data ScientistData Scientist NlpQuantitative Research InternshipMl EngineerApplied Robotics Scientist