Candidatei-me online. Fui entrevistado pela Samsung Electronics em jun. de 2022
Entrevista
Interview process was as follows:
1)
1h online assessment consisting of two medium leetcode questions. Was able to write code in my IDE and run as submit code as many times as I can.
2)
Phone Interview with senior engineer discussing about technical knowledge and past projects. The aim of this stage is to decide if there is a match in career future and what the company expects from you
3)
1.5h Video Interview with manager and ML engineers. Was mainly on technical questions around ML
4) 0.5h HR round on behavioral questions
Perguntas de entrevista [1]
Pergunta 1
1) About the online assessment, I cant describe problems due to terms and conditions. They were typical medium leetcode problems, algorithms and dsa
2) During the phone interview was asked about how I imagine myself working there, what are my expectations and I was said what it is like working there.
3) ML technical questions, like transfer learning, computer vision operator filters, metrics, spectrograms, segmentation, python generators and oop
Fiz uma entrevista na empresa Samsung Electronics.
Entrevista
3 interviewers asking 1 interviewee with presentation about past projects and Q/A session for 40 minutes. Some questions regarding my major and some questions about culture fit and attitude. Also asked where I live to see how far is it from workplace.
Perguntas de entrevista [1]
Pergunta 1
Why did you select certain deep learning model instead of others?
Fiz uma entrevista na empresa Samsung Electronics (Amã).
Entrevista
Ask about computer science data structures and algorithms, there is also a problem solving software test. They ask machine learning and deep learning algorithms and about stuff related to the position you are applying for
Fiz uma entrevista na empresa Samsung Electronics (Bengaluru).
Entrevista
The interview process consists of three rounds.
Round 1 involves a multiple-choice test focusing on deep learning concepts.
Round 2 is a virtual interview that covers both machine learning and data structures & algorithms.
Round 3 requires an advanced-level analysis of your past projects along with questions related to data structures and algorithms.
