Me postulé a través de un reclutador. Acudí a una entrevista en Pinterest (Varsovia, Mazovia)
Entrevista
First screening interview, then a behavioural interview, and finally five rounds of coding interviews in various areas. All the stages were really professional, the interviewers were supportive. Questions were relatively simple, but some preparation was necessary.
The phone screen was a mix of behavioral questions and some basic technical concepts, which was a bit different from what I anticipated. After that, I faced a technical round that focused on implementing sparse matrix operations. To my surprise, the coding question was nearly identical to what I'd practiced in the algorithm section on PracHub just days before. The onsite interview included some more DSA challenges and a discussion on machine learning concepts, which helped me feel well-prepared. Overall, the experience was smooth, and I accepted the offer afterward.
Preguntas de entrevista [1]
Pregunta 1
Implement sparse matrix storage, addition, and multiplication
The assessment time was very short and harsh. There were lots of questions with a very limited time. I liked the other big companies' assessments better. For example, Meta and Google assessments are through talking to a person while coding.
I applied for the new grad MLE position. The process included an online assessment, a 20-minute HR call, and four onsite interviews (two coding and two machine learning system design).
Las mejores empresas en cuanto a "Remuneración y prestaciones" cerca de ti
