J'ai postulé en ligne. J'ai passé un entretien chez Stripe (Toronto, ON)
Entretien
Onsite interview was 5 rounds including behavioral, ML design, ML debugging, general algorithm, etc. Interviewers were positive and the process was routine. The negative point for me was that in some of my sessions they were training a junior person to be an interviewer which made the dynamic weird and stressful.
J'ai postulé via la recommandation d'un employé. J'ai passé un entretien chez Stripe (San Francisco, CA) en juin 2026
Entretien
Pre-onsite step has two rounds. One is ML integration round. You need to work with a pre-loaded dataset, process the data and train a model. Another one is a programming problem with a few tasks. 2hrs in total.
Questions d'entretien [1]
Question 1
Process the data and train a predictive model for the target. What is data normalization used for?
Online Assessment — The first round of interviews is scheduled to include both coding and machine learning problems. Overall, the process appears to follow a fairly standard interview procedure, beginning with technical assessment before moving into later-stage evaluations.
J'ai postulé via un recruteur. J'ai passé un entretien chez Stripe en avr. 2025
Entretien
2 technical screens (coding, ml coding), onsite was 4 rounds (coding, debugging, system design, hiring manager). Coding questions were OOP and class oriented. Problems were practical, the ml coding round had a dataset provided and you had to build and evaluate a model in 1h.
Questions d'entretien [1]
Question 1
system design had an emphasis on real time deployment