Ho presentato la mia candidatura tramite segnalazione di un dipendente. La procedura ha richiesto 2 settimane. Ho sostenuto un colloquio presso Pinterest nel mese di ott 2022
Colloquio
Email conversation with a recruiter for a university grad MLE position and later sent a technical assessment. That is all the interview process I went through. The assessment was for 70 minutes with 3 coding questions, 2 ML quiz and 1 output-only,.
Domande di colloquio [1]
Domanda 1
The coding questions in the assessment involved 1 data structure coding and the other two ML coding questions. In 70 minutes, they expected to solve everything along with the quizzes.
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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.
Domande di colloquio [1]
Domanda 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.
Ho sostenuto un colloquio presso Pinterest nel mese di feb 2026
Colloquio
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).
