Machine Learning Engineer [All Levels]
Nubank · Campinas, São Paulo, Brazil
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- On site
- Full-time
- R$150,000 / year
- Campinas, São Paulo, Brazil
Job highlights
- Develop and deploy ML models and systems.
- Monitor and maintain ML model performance.
- Collaborate on AI and data science applications.
- Build scalable ML infrastructure and tooling.
- Work with modern development and cloud techniques.
About the role
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 using modern frameworks;
- Understands the most common failure modes in ML-enabled systems and knows how to avoid and/or mitigate those;
- Is familiar with all stages of the ML model lifecycle, from inception to deployment and steady-state operation;
- Is familiar with cloud-based services from vendors such as AWS, GCP and Azure.
- Is familiar with software engineering and architecture principles and how they enable sustainable and maintainable systems;
- Is familiar with data engineering routines, pipelines and job scheduling frameworks;
- Is able to navigate complex mathematical and analytical environments when needed;
Our Benefits
- Chance of earning equity at Nubank
- Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
- Public Transportation Commuting Benefit (Vale-Transporte)
- NuCare – Psychological, Financial and Legal Assistance Program
- Life Insurance
- Medical Plan
- Dental Plan
- NuLanguage – Language Course Program
- Nucleo - Our learning platform of courses
- Extended Parental Leave
- Daycare Allowance
- Parental Consultancy
- Work-from-home Allowance
- Gym Partnerships
- 30 days of paid vacation
Work Model for this Role
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com.br/nu-hybrid-work-model/
Key skills/competency
- Machine Learning Engineer
- Data Science
- Artificial Intelligence
- ML Models
- ML Systems
- Deployment
- Monitoring
- Pipelines
- Cloud Services
- Software Engineering
Skills & topics
- Machine Learning Engineer
- Data Science
- Artificial Intelligence
- ML Models
- ML Systems
- Deployment
- Monitoring
- Pipelines
- Cloud Services
- Software Engineering
- AWS
- GCP
- Azure
- Python
- Statistics
- Data Engineering
- Hybrid Work
How to get hired
- Tailor your resume: Highlight ML engineering experience, model deployment, and cloud proficiency.
- Showcase project impact: Quantify achievements in ML model lifecycle management and system integration.
- Prepare for technical interviews: Brush up on ML concepts, statistics, and software engineering principles.
- Demonstrate cloud expertise: Be ready to discuss experience with AWS, GCP, or Azure services.
- Understand Nubank's mission: Align your application with their goal of fighting complexity.
Technical preparation
Master ML algorithms and statistical concepts.,Practice Python for ML model implementation.,Familiarize with cloud ML services (AWS, GCP, Azure).,Understand CI/CD for ML model deployment.
Behavioral questions
Describe a complex ML problem you solved.,How do you monitor and maintain ML models?,How do you collaborate with diverse teams?,Share an experience with ML system failures.
Frequently asked questions
- What are the key responsibilities of a Machine Learning Engineer at Nubank?
- A Machine Learning Engineer at Nubank is responsible for integrating ML models and systems into the company's infrastructure, monitoring and maintaining their performance, deploying models in various scenarios, and building scalable tooling. This includes collaborating with teams to apply AI and data science to business problems.
- What programming languages and frameworks are most relevant for this Machine Learning Engineer role at Nubank?
- While specific languages aren't listed, the description emphasizes extensive programming experience with modern development techniques and experience with modern ML frameworks. Familiarity with cloud-based services (AWS, GCP, Azure) and data engineering routines is also crucial.
- Does Nubank offer opportunities for career growth for Machine Learning Engineers?
- Yes, Nubank provides access to their learning platform 'Nucleo' with various courses, suggesting a commitment to employee development. The mention of 'All Levels' in the job title also implies opportunities for growth and advancement within the ML Engineering team.
- What is the work model for the Machine Learning Engineer position at Nubank?
- This role follows a hybrid work model, requiring employees to be in the office 2-3 times a week for strategic collaboration and team connection. More details on their hybrid model can be found on their careers page.
- What kind of benefits does Nubank offer to its employees, including Machine Learning Engineers?
- Nubank offers a comprehensive benefits package including equity options, meal and transportation benefits, health and wellness programs (NuCare, Medical, Dental, Gym Partnerships), language courses, a learning platform, extended parental leave, daycare allowance, and paid vacation.
- How does Nubank leverage Data Science and Machine Learning in its business operations?
- Data Science is fundamental to Nubank since its inception. ML Engineers are key to operationalizing ML models and enabling systems that deliver value across various business areas, from customer service to financial product development.
- What is Nubank's mission, and how does it relate to the Machine Learning Engineer role?
- Nubank's mission is to fight complexity and empower people by reinventing financial services. As an ML Engineer, you contribute to this mission by building and deploying ML-enabled systems that enhance customer experience and operational efficiency.