Screening with talent acquisition partner - 30 minute conversation on job role, company, new investment, team formation followed by 10 technical questions from software engineering, to ML modelling and MLOps inc Deployment and Cloud
Autres retours d’entretien d’embauche pour un poste comme ML Engineer chez Faculty.ai
J'ai postulé via la recommandation d'un employé. J'ai passé un entretien chez Faculty.ai (Londres, Angleterre) en avr. 2026
Entretien
First interview was a pair-programming exercise building a simple endpoint to a model, second interview was a system design exercise. They are not very difficult and familiarity with python, fastapi and huggingface's libraries are enough. For system design you need to know how to deploy models in real world scenarios.
Questions d'entretien [1]
Question 1
What is the difference between classical ML and deep learning?
1. A call with an internal recruiter with some technical questions.
2. An online test where you were meant to clear a dataset in front of 2 engineers. Live coding, able to use online tools.
Questions d'entretien [1]
Question 1
An online test where you were meant to clear a dataset in front of 2 engineers.
