Candidatei-me por meio de recrutador(a). Fui entrevistado pela Dropbox (Seattle, WA) em jan. de 2019
Entrevista
Recruiter reached out over email. During our chat, I told her about my specific skill set and that I was interested in applying for a Machine Learning Engineer role. She acknowledged it and said that there are multiple such roles open.
1 hour Phone interview was scheduled within a few days. The phone interview went well -- I solved the problem with an optimized solution. The interviewer and I also had a nice chat about the challenges that the company is facing.
After this, there was silence from the recruiter. After about 2 weeks, I emailed her and asked about the next steps.
I received a standard reply saying that the "phone screen was very good and the interviewer was impressed by my skills. However, I am not a fit for the 'full stack role' that they are looking for".
Seriously?? Why would you even consider me for a 'full stack role' -- when I had specifically mentioned intention, my skills set and expectations upfront. Why waste everyone's time? Not just mine, but of your own employees?
(Btw, Dropbox still has multiple roles open for Machine Learning Engineer on LinkedIn)
Fiz uma entrevista na empresa Dropbox (Raleigh, NC).
Entrevista
Simple and straightforward process. I applied online, they reached out to me, I did a coding interview with CodeSignal. Unfortunately, they filled the role before the final stages of my interview process.
Perguntas de entrevista [1]
Pergunta 1
They had me do the software engineer codesignal tech screen.
Candidatei-me online. O processo levou 2 meses. Fiz uma entrevista na empresa Dropbox.
Entrevista
2 take home coding challenges through code signal, 1 behavioral interview, and a final round interview. The final round interview is 5h long and expect interviews to be as hard as other FAANG companies.
Perguntas de entrevista [1]
Pergunta 1
basic leet-code questions for the first coding challenge, and a creating text editor for the second one. The final round interview involves both algorithm and machine learning questions.
