Me postulé a través de un reclutador. Acudí a una entrevista en Amazon Web Services (Seattle, WA) en nov 2024
Entrevista
Recruiter reached out via LinkedIn. Not very responsive. I didn't know the format of interview by the day of interview. One of the recruiter said it would be with HR and LP based, one said it would be ML death and breadth. Eventually, the interview was about basic ML and NN questions. There was no question from the resume, and leetcode.
Preguntas de entrevista [1]
Pregunta 1
They asked bias and variance trade off: the math formula for it, activation functions pros and cons specifically about tanh, dropout layers, In the end I was asked a graph problem: number of islands. They spend good amount of time on each question. While preparing think about how can you talk about each topic for 3-4 minutes.
Recruiter screen followed by technical interview. Technical interview was not at all as described by recruiter. I was told to prepare for AI/ML fundamentals but was asked to do a deep dive on LLM infrastructure and training from scratch.
Preguntas de entrevista [1]
Pregunta 1
Describe the encoder, decoder, and encoder/decoder architectures
Acudí a una entrevista en Amazon Web Services (Berlín)
Entrevista
Lots of ml questions around current state if the art. Llm architecture and training fine tuning more around statistics and computer science fundamentals and math such as linear algebra and probability also explain experience via leadership principles causal in the beginning then more involved with questions about the role in the end friendly encouraging interaction would recommend
Begins with an introductory meeting with the hiring manager, discuss background and experience. This is followed by a coding interview with algorithmic challenges. Next, many behavioral questions focused on leadership principles. Then, a system design interview to architect scalable and maintainable systems. Additionally, ML concepts, algorithms, and practical applications.