J'ai postulé en ligne. J'ai passé un entretien chez Pinterest (New York, NY)
Entretien
The Online assessment contains questions aabout general machine learning such as confusion matrix, computation os precision, accuracy and recall. implementation on famous ML algorithms from scratch, questions about normalization, and techniques for training and balancing variance vs bias
J'ai postulé en ligne. J'ai passé un entretien chez Pinterest (Toronto, ON) en déc. 2024
Entretien
Online assessment with three sections. The first part is multi-choice questions, asking for basic machine learning knowledge. Questions are like AWS certification questions. The second part is coding questions asking for implementing ML algorithms such as KNN and Kmeans. They have built-in functions for you; you need to follow their structure. The final part is a leetcode question. Overall, it was not a good experience, the algorithm part took a long time to figure out. Short period but a lot of questions.
Questions d'entretien [1]
Question 1
One of the ML questions is to give you a confusion matrix, and you need to calculate recall, and precision.
The online assessment is conducted through CodeSignal and includes multiple-choice questions that test fundamental knowledge in machine learning, as well as Python coding questions. These coding challenges focus on array and string manipulation, as well as the practical implementation of machine learning algorithms. The assessment evaluates both theoretical understanding and hands-on coding proficiency in relevant areas of data science and machine learning.
Questions d'entretien [1]
Question 1
Calculation for neural network with different activation functions