Me postulé a través de un reclutador. El proceso tomó 1 semana. Acudí a una entrevista en Stripe en nov 2021
Entrevista
1 hour technical screen via coderpad and zoom. Python problem with emphasis on test cases and completeness.
I've got through on sites with offers from Uber, Google, Facebook, and Apple for reference.
This interview was horrific. The interviewer was completely unhelpful. He offered no guidance, no preference, and just watched me flail around with the problem. There was no discussion nor was there any interest in finding out what type of candidate I am other than developing unit testing framework for a very esoteric problem.
I'm confident in my abilities as an engineer and developer, and this was ridiculous. I was so excited for the opportunity to potentially work at driving Stripe's mission forward, but this interview has shown me a nasty underbelly of what lies within.
Preguntas de entrevista [1]
Pregunta 1
Can't really say for NDA. Not Leetcode. General Python and all open note.
Me postulé a través de una recomendación de un empleado. Acudí a una entrevista en Stripe (San Francisco, CA) en jun 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.
Preguntas de entrevista [1]
Pregunta 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.
Me postulé a través de un reclutador. Acudí a una entrevista en Stripe en abr 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.
Preguntas de entrevista [1]
Pregunta 1
system design had an emphasis on real time deployment