I applied online. The process took 4 weeks. I interviewed at Amazon (Bucareste, ) 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
Phone screen interview
Then onsite interviews: 5 interviews two on coding and three on science and a tech talk
You choose a topic for the presentation
The science interviews are: one on science depth, one on science breath and one on science applications
Interview questions [1]
Question 1
Question on optimizers; comparing gradient decent, adam optimizer etc
Applied for Amazon AGI. After first round, it will go into full round of multiple interviews. Lots of modern LLM training technic questions. There are still some behavioral questions, but less than general Amazon roles.
Interviewed with 1 phone screen, 1 coding, 2 ml design and 2 lp rounds. Most questions were non-leetcode questions more related to day to day ml implementations. The questions were very practical.