Phone screen (coding + LPs), several rounds on-site (coding, ML/DL breadth and depth, use case/system design, LPs). Coding can be somewhat hit and miss in terms of difficulty, depends on the interviewer. ML/DL fundamentals test basic knowledge (breadth). May ask pre-DL basics. ML depth is based on a recent own project. Application/system design - not as detailed as SW system design, more high-level and focus on being able to recognize and apply certain standard or recent ML algos. LPs - do not underestimate these!
Preguntas de entrevista [1]
Pregunta 1
Medium difficulty coding Q about connected components.
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.
Envié una solicitud electrónica. El proceso duró 1 semana. Acudí a una entrevista en Amazon (Tokio) en abr 2026
Entrevista
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.
