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.
Oferta aceptada
Experiencia positiva
Entrevista promedio
Solicitud
Me postulé en línea. El proceso tomó 1 semana. Acudí a una entrevista en Amazon (Seattle, WA) en sept 2021
Entrevista
I had 2 interviews in 2 consecutive days. The first one included a coding challenge (solved it in a short time then I was asked to provide a less complex solution) and a ML case study + 1 behavioral question. Second interview focused on ML questions and my research + 2 behavioral questions. The ML questions almost covered all the key words mentioned in my resume.
Preguntas de entrevista [1]
Pregunta 1
what are transformers?
What are vision transformers?
what is the time complexity of the attention matrix?
what is the advantage of vision transformers over CNNs?
what is a ResNet?
what is data augmentation?
what are the preprocessing techniques?
How does YOLO work and whats's the cost function
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.