Ho presentato la mia candidatura online. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Amazon (Bucarest, ) nel mese di ago 2023
Colloquio
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.
Domande di colloquio [1]
Domanda 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
Ho sostenuto un colloquio presso Amazon (Seattle, WA)
Colloquio
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.
Ho presentato la mia candidatura online. La procedura ha richiesto una settimana. Ho sostenuto un colloquio presso Amazon (Tokyo) nel mese di apr 2026
Colloquio
The interview for the Applied Scientist position primarily focused on three core components: technical questions regarding machine learning, a live coding assessment, and a detailed review of my professional experience.