The interview process consisted of two rounds:

1. A CodeSignal assessment with 10 questions:

   • Seven of the questions were multiple-choice and short-answer on Machine Learning.
   • The last three were coding questions.
   • Two coding questions involved implementing Naive Bayes and Gradient Descent.
   • The final coding question was LeetCode Medium.

2. A 60-minute technical interview with a Pinterest Engineer. This round included answering fundamental Machine Learning questions, followed by a LeetCode Medium difficulty question.

Overall, the experience was pleasant despite not receiving an offer. I honestly believe they were fair.

Naive Bayes in Python Gradient Descent in Python String Manipulation PCA vs LDA (when to use and why) Sigmoid Function Regularization Techniques in ML AUROC, AUPRC