Me postulé en línea. El proceso tomó 3 meses. Acudí a una entrevista en Amazon (Brisbane) en feb 2023
Entrevista
Online coding assessment that was required to be complete within 5 days. 2 LC questions - easy and medium. 2 online interviews. First covered coding - 1 LC easy question and low-level ML problem. Second covered ML depth and breadth. Both interviewers were pleasant and happy to help if you got stuck on an issue. Recommend brushing up on foundations (calculus, linear algebra etc.) as both interviewers asked low-level questions.
Preguntas de entrevista [1]
Pregunta 1
Breadth - generative models, loss functions, tokenizers, LLMs, convolutions, residuals Depth - my research, applications and relation to other fields Math - implement SGD for a problem (derive gradients, update, momentum etc.). Derive closed-form solution to this problem.
I was asked basic knowledge in deep learning and machine learning. Also had time of explaining my research. discussed how I can apply my research to the current project. Transformer architecture, bias-var tradeoff, use of positional encoding, long-term dependencies.
HackerRank assessment with solid, fair questions. Communication with the recruiting team was clear and professional throughout the process. I was invited to two additional interviews, one focused on research depth and the other on coding skills.
One phone screen on LeetCode-style medium coding question plus behavioral questions. One loop of three back to back interviews including one round of coding, two rounds of research plus behavioral questions.