Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Stripe (Toronto, ON)
Colloquio
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.
Ho presentato la mia candidatura tramite segnalazione di un dipendente. Ho sostenuto un colloquio presso Stripe (San Francisco, CA) nel mese di giu 2026
Colloquio
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.
Domande di colloquio [1]
Domanda 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.
Ho presentato la mia candidatura tramite un selezionatore. Ho sostenuto un colloquio presso Stripe nel mese di apr 2025
Colloquio
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.
Domande di colloquio [1]
Domanda 1
system design had an emphasis on real time deployment