1 hour hackerrank involving payment processing. Questions were easy, but the output types are not given, so you spend most of the time guessing what hackerrank wants. The question is split into multiple parts and you're not able to test individually. Complete waste of time.
Candidatei-me por indicação de um funcionário. Fui entrevistado pela Stripe (San Francisco, CA) em jun. de 2026
Entrevista
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.
Perguntas de entrevista [1]
Pergunta 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.
Candidatei-me por meio de recrutador(a). Fui entrevistado pela Stripe em abr. de 2025
Entrevista
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.
Perguntas de entrevista [1]
Pergunta 1
system design had an emphasis on real time deployment