Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Shopee (Singapore) nel mese di apr 2018
Colloquio
I have interviewed with the Data Science team at the Singapore office. I was a little apprehensive of Shopee after reading the bad reviews here. However, after I have completed the entire interview process, I sincerely think that these are some of the best and down to earth people I have met.
There are 4 rounds of interview. The first 2 are technical and the last 2 are more towards cultural fit.
The first 2 rounds are conducted by future teammates. I managed to finish the technical questions ahead of time and get to ask them a lot of questions about their work and management style. They are very open and tell me about the pros and cons. I have also asked them technical related questions and found them to be very knowledgeable in their domain.
The last 2 rounds are conducted by the managers. I get a sense that they are easy going people and they have much trust in their team to do their work. They are definitely not the micromanagers type.
Throughout the entire interview process, the HR has kept me informed at each step. They are very prompt in their reply and professional even when I have proven to be a difficult case.
Domande di colloquio [1]
Domanda 1
Tell me about a machine learning project you have implemented
Dear Machine Learning Engineer Candidate,
We're so happy to hear that you're coming onboard! Shopee has definitely gained a valuable member.
Thank you for making time to leave useful information here for our prospective candidates as well. We hope you transit into the Singapore team smoothly and wish you the best!
Shopee's Employer Branding team
Altre recensioni di colloqui per Machine Learning Engineer presso Shopee
Went straight into coding problem once the video call started, without any introduction or other converstion. Typical technical interview with coding problems of leetcode hard level. Also asked some machine learning conceptual questions.
Domande di colloquio [1]
Domanda 1
How do you calculate AUC given a list of positive and negative instances sorted by the predicted score?
It was ok. There was a coding challenge followed by 2 interviews. Coding challenge was doable. 2 interviews lasted 1.5 hours each. One peculiar thing that happened was during the interview process they switched the exact team i was interviewing for 2 times.
Domande di colloquio [1]
Domanda 1
Technical interview asked about performing matrix multiplication in an efficient manner and a couple of questions regarding machine learning
1. HR phone call to decide which team you want to interview with. Also asked about salary expectations.
2. Technical interview on Zoom with an engineer
3. Technical interview on Zoom with the team lead
Domande di colloquio [1]
Domanda 1
The HR call was very short and I did not get asked behavioural questions. The HRs are very nice and reply to emails very quickly.
Then the technical interviews. It seems that they have a pool of questions that are shared with all engineers. So the first interviewer asked me backend questions even though I applied for MLE. The interviewer was nice about it when I told them that I have not learned certain topics in school.
I was asked about the Machine Learning projects on my resume. They wanted to see how well you know the specific concepts and ML algorithms you used in these projects.
For the coding challenge, I got a pretty easy question in the first round, about designing a cache. The question asked in the second round was quite difficult and required dynamic programming.
Also, even though the interview started in Mandarin, the interviewer switched to English when I told them that I did not know technical terms in Chinese. We had no problem in terms of communication.
