Lead/Staff Machine Learning Engineer
Nu Holdings Ltd. - Brazil, Belo Horizonte; Brazil, Campinas; Brazil, Rio de Janeiro; Brazil, Sao Paulo
Posted Feb 13, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Lead/Staff Machine Learning Engineer Brazil, Belo Horizonte; Brazil, Campinas; Brazil, Rio de Janeiro; Brazil, Sao Paulo About us Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world's largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia. For more information, visit our institutional page https://international.nubank.com.br/careers/ ML Engineering at Nubank Data Science is essential to every part of the business at Nubank, since Day 1. Most areas of the company use data science to some extent. ML Engineers are key to connecting ML models and ML-enabled systems to the rest of our infrastructure, while making sure that they work properly, delivering value to our customers. As a Machine Learning Engineer, you're expected to - Interact with other team members to understand how to best apply data science and artificial intelligence to Nubank's problems; - Help monitor and maintain models and ML systems, making sure they are working well as measured by performance, operational and business metrics; - Help deploy ML models both in batch and real-time scenarios. This may include building pipelines, constructing features and integrating models to other systems; - Help build and maintain tooling and platforms to scale operations across multiple teams; - Be familiar with modeling and statistics concepts; Our ideal candidate - Has extensive programming experience and is familiar with modern development techniques; - Has experience creating, deploying and maintaining ML models and ML-enabled systems
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