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.
Implement sparse matrix storage, addition, and multiplication.
The following metrics were computed from 1 interview experience for the Pinterest Machine Learning Engineer role in Machine Learning Engineer Interview, Jun 2.
Pinterest's interview process for their Machine Learning Engineer roles in Machine Learning Engineer Interview, Jun 2 is incredibly easy as the vast majority of engineers get an offer after going through it.
Candidates reported having mixed feelings for Pinterest's Machine Learning Engineer interview process in Machine Learning Engineer Interview, Jun 2.