FewerJobs.
All jobs

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
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Not verified
Salary
Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type
Not verified
Weekend work
Not verified

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

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

Read the full description at job-boards.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.

Apply at job-boards.greenhouse.io

Apply link not verified; last-live date unavailable.

What verified means

Verified means a displayed claim has a recorded source field, a source URL when available, and a timestamp showing when FewerJobs checked or enriched the evidence.

Related jobs