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/
Our Data Science and ML Team
At Nubank we aim to empower our customers to take control of their financial lives. The Data Science team develops models and leverages its expertise to provide the best experience and products, using statistics, Artificial Intelligence and lots of creativity to predict our customers' behaviors. Our team strives for cutting edge model development techniques, from Machine Learning to Reinforcement Learning and beyond. We're partnering with business and technology to make speed of thought decisions possible.
The principles that guide us:
Diverse ensembles don't overfit;
We reinforce each other's learning;
Mind the person behind the data point;
We share the same objective function;
We trust our confidence interval;
Pursue the global maxima.
The position
This is an individual contributor role as Senior Machine Learning Engineer. We're looking for someone with a record of deploying Machine Learning models into production environments, running experiments, proficient in Data Engineering, and eager to keep pushing themselves and the team to follow the best practices of Machine Learning Engineering.
Once here, you will:
Things you'll need to thrive in this role:
Our Benefits
Role Location
Mexico City, Mexico.
Our work model is hybrid and has cycles that can be from two to three months according to the business of expertise. For every eight or twelve weeks of remote work, one will be at the office. Check more information here https://blog.nu.com.mx/nu-anuncia-modelo-hibrido-de-trabajo/
At Nu, we want to be sure that we're building a more diverse and inclusive workplace that reflects the customers we serve and seek to empower. That's why we hire based on equality. We consider gender, ethnicity, race, religion, sexual orientation, and other identity markers as enriching elements to our company while ensuring neither of them represent a barrier when recruiting fantastic talent.