Long process, positive experience, classical technical questions you can find on internet
Long process, positive experience, classical technical questions you can find on internet
Long process, positive experience, classical technical questions you can find on internet
The interview process started with an online screening round focused on basic machine learning concepts, data structures, and problem-solving. This was followed by two technical interviews covering ML fundamentals, model evaluation, Python coding, and real-world use cases. The final round was a behavioral discussion with the hiring manager, focusing on past projects, teamwork, and communication skills. Overall, the process was structured, professional, and well-organized.
Questions d'entretien [1]
Question 1
I explained the problem statement, dataset, preprocessing steps, and the model I selected. I discussed why the algorithm was chosen, how I handled overfitting, and the evaluation metrics used such as accuracy, precision, recall, and cross-validation. I also shared insights on improvements and real-world impact.
J'ai postulé en ligne. Le processus a pris 1 semaine. J'ai passé un entretien chez Google (San Francisco, CA) en janv. 2026
Entretien
Test technique à distance. Comportant des questions de développement de code. Ainsi que de système design. Tout était fait à distance avec un délai de 4 jours pour compléter le test technique.