I applied online. The process took 4 weeks. I interviewed at Amazon (Bucarest, ) in Aug 2023
Interview
The Amazon Science Machine Learning interview evaluates candidates' expertise in machine learning, algorithms, and problem-solving. It includes technical assessments, coding challenges, and discussions on research projects. Emphasis is on both theoretical knowledge and practical application in the context of Amazon's scientific and ML projects.
Interview questions [1]
Question 1
- multiarmed bandits
- MLE vs bayes
- MLE for regressione how can we dot it
- A/B testing
- importance of randomization in A/B tests
- p-value
- bias/variance tradeoff
- quali modelli non c'è bisogno di trovare questo tradeoff (non-parametrici?)
- overfitting/capacity
typical process for a data science interview in tech: screen, take home, in person with five stations
one behavioral with a higher up, One coating in front of a laptop, and several q&a's with a applied scientist
Interview questions [1]
Question 1
how would you improve our existing model, after they described it
I applied online. The process took 2 weeks. I interviewed at Amazon (Madrid) in Sep 2023
Interview
The interview consisted in three parts with 20 minutes each. In the first part I was asked a behavioral question on how would I handle a short deadline. Then, I was asked to describe a ML project on which I had worked previously and answered some detailed questions. The last past was a live coding problem based on a situation I would face in the daily routine at the company.
Interview questions [1]
Question 1
How would I handle a situation in which I have a short deadline to finish a project.