The process includes understanding of Both theory and coding. Fundamentals is necessary, algorithms, data cleaning, data processing etc. Problem solving and teamwork is an essential skill. The process of setting up the interview was smooth.
Perguntas de entrevista [1]
Pergunta 1
In depth understanding of Machine learning fundamentals and coding
Candidatei-me online. O processo levou 4 semanas. Fui entrevistado pela Lyft (Kyiv, ) em out. de 2022
Entrevista
The process took around 3 weeks. Many stages of the interview (1+4). All the interviewers were positive and tolerant. One interviewer didn't show up. So the interview was rescheduled. It was not a problem but took more time. You must pass the first interview and then 3 out of 4. Pass means complete on 100%! (I thought that I performed well but it was not enough)
Perguntas de entrevista [1]
Pergunta 1
First, was contact with HR containing a full description of the process. Pre-screen interview: basic ML questions, live coding middle-level problem (not ML or algorithms); Experience interview: soft-skills + resume; ML Domain: given a real-life problem, you should describe it in ML terms and tell your solution; CS fundamentals: middle LeetCode problem; Laptop coding: you should code the OOP problem.
Candidatei-me online. Fui entrevistado pela Lyft (München, Bavaria) em fev. de 2022
Entrevista
I add a first get to know HR interview followed by an online coding challenge. The process was very positive. The interviewers were always very nice and friendly. The process was very clear and transparent.
