Nubank
Lead ML Data Engineer, AI Core
Palo Alto
Sponsorship not specifiedDetected 3 days ago
PythonMachine LearningSparkAirflowData EngineeringNLPLeadershipCommunicationProblem SolvingMentoring
About the role
- At Nu, data is the foundation that powers our AI and machine learning models, enabling millions of customers to access fair financial products.
- You'll work at the intersection of data and applied machine learning, contributing across multiple stages of the
Responsibilities
- Design and build scalable data ingestion pipelines that bring new datasets into our AI Core platform, ensuring reliable, efficient data flow from source to model training.
- Develop and maintain data preparation workflows that transform raw data into features ready for model training, working with distributed computing frameworks like Ray.
- Collaborate with AI Core ML, Platform, and Infra teams to ensure seamless data flow across our ML infrastructure, from ingestion to model deployment.
- Lead technical initiatives that improve our data engineering practices, setting standards for data quality, pipeline reliability, and model-data integration.
- Mentor team members and contribute to hiring activities, helping build a strong and diverse team that drives innovation in AI infrastructure.
- Our recruitment process may involve the use of artificial intelligence-enabled tools, such as automated interview transcription and analysis, to support the evaluation process.
Requirements
- Proficiency in Python for data engineering and ML workflows, with experience working with large-scale data processing systems.
- Solid understanding of data quality principles and experience implementing monitoring, validation, and alerting systems.
- Strong problem-solving skills with the ability to address complex, ambiguous problems requiring coordination across multiple teams.
Nice to have
- Experience with MLflow or similar model tracking and versioning systems.
- Knowledge of foundation models, fine-tuning workflows, and transformer architectures.
- Experience with data pipeline orchestration tools (Dagster, Airflow, or similar).
- Background in financial services or fintech, understanding the unique data challenges in this domain.
- Experience working in a fast-paced, high-growth environment with distributed teams.
- Track record of reducing complexity in data systems and improving developer experience for ML teams.
- Work-from-home Allowance
- Relocation Assistance Package, if applicable.
Skills
- This role is available in any of our North American offices (Palo Alto, USA; Miami, USA; Durham, USA; Toronto, CAN)
- Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.
Benefits
- Opportunity of earning equity at Nu
- Medical Insurance
- Dental and Vision Insurance
- Life Insurance and AD&D
- Extended maternity and paternity leaves
- Nucleo - Our learning platform of courses
- NuLanguage - Our language learning program
- NuCare - Our mental health and wellness assistance program
- Saving Plans - Health Saving Account and Flexible Spending Account
- Implement data quality monitoring and validation systems that catch issues before they impact model performance, maintaining the health of datasets across our ML ecosystem.
Company info
- You can read more about the work in the AI Core team on our blog: https://building.nubank.com/understanding-our-customers-finances-through-foundation-models/
- Nu is the leading digital bank in Latin America, serving 135 million customers across Brazil, Mexico, and Colombia.
- The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services.
- Guided by its mission to fight complexity and empower people, Nu caters to customers' complete financial journey, promoting financial access and advancement with responsible lending and transparency.
This listing is sourced directly from Nubank's careers page and normalized into a canonical job model.