Me postulé en línea. El proceso tomó 2 meses. Acudí a una entrevista en Panasonic (Frankfurt am Main) en sep 2015
Entrevista
I had applied online and it took few weeks to get a call for face interview. It was more about my resume regarding the work in the field of mobile communications. There was a panel interview including HR. They did not go technically deep into anything in the first interview. Usually there will be two rounds of interview.
3
Otras evaluaciones sobre las entrevistas para el cargo de Research Engineer en Panasonic
Me postulé en línea. El proceso tomó 2 semanas. Acudí a una entrevista en Panasonic (Singapur) en jun 2021
Entrevista
I applied online and was shortlisted for the interview for Panasonic R&D in Singapore. In the interview, there were 3 panellists. First I made a presentation for 30 mins and followed by questions for another 45 minutes. Questions were from both past projects, technical questions related to Machine Learning and a programming test, where they test basics using an IDE. The interview questions related to ML were tricky, as I couldn't able to answer some questions. Only one interview. I received an offer of 4500 SGD next day (plus AWS and VB) that is on a renewable 1 year contract.
Preguntas de entrevista [1]
Pregunta 1
1. What's the difference between list and vector in C++? (I answered vector but not list)
2. What's the difference between a=b and a=b.copy() in Python? Where do you use them correspondingly? (I answered wrong)
3. How to sort a list (in ascending) without using NumPy (need to provide Pseudocode)
4. How do you measure the success of object detection? What metrics do you use?
5. How do you handle overfitting?
6. What is a dropout? What is a resnet? Explain Q learning?
9. If you have less data, how to do you use them to train your network?
10. How do you align the images before input them to NN?
Apart from first 2 questions, I answered other questions well.