Machine Learning Engineer Interview Experience - São Paulo, Brazil
Process
I applied through an employee referral. The process took two months.
It was a very long process, with about eight phases, and each evaluated a different perspective of the job function. It is important to focus a lot on each phase. The instructions are very clear, and it is necessary to prepare beforehand for each one. You normally only find out the specific role you are entering at the end of the process, in an interview with the hiring manager, which is the final phase. In the other phases, you are evaluated by peers of the final hiring manager, which is good for understanding the different areas within your job function. There are LeetCode-style tests, architecture cases, and live-coding projects, in addition to interviews with talent and the hiring manager. All interviewers are very attentive and patient, so don't be afraid to make mistakes and ask questions.
Questions
Which Nubank values do you identify with the most and why?
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Interview Statistics
The following metrics were computed from 7 interview experiences for the Nubank Machine Learning Engineer role in São Paulo, São Paulo.
Success Rate
Nubank's interview process for their Machine Learning Engineer roles in São Paulo, São Paulo is very selective, failing most engineers who go through it.
Experience Rating
Candidates reported having very good feelings for Nubank's Machine Learning Engineer interview process in São Paulo, São Paulo.
Nubank Work Experiences
- 4.0Empresa incrível mas rola desorganização em alguns aspectosMachine Learning Engineer • Current EmployeeSão Paulo, São PauloMay 13, 2022Pros: Corpo tecnico excelente, cultura da empresa muito boa.Cons: Nunca ninguém questionou minha inteligencia explicitamente em nenhum lugar que eu trabalhei, até entrar no nubank. Com 3 semanas de empresa o PO falou enquanto tempo que deveria entregar uma tarefa (PO que não sabe seu papel) e ainda insinuou que talvez eu não fosse tão inteligente, que o ele gostaria de acreditar no processo seletivo.
- 5.0Great opportunities for growthMachine Learning Engineer • Current EmployeeGuadalajara, JaliscoJuly 1, 2025Pros: Internal mobility opciones that help being exposed to different teams and challenges.Cons: Everything is good so far.
- 5.0Good place to workMachine Learning Engineer • Current EmployeeBogotá, BogotaAugust 19, 2025Pros: - Interesting and challenging work - Good work-life balanceCons: Everything takes time to do.
