Machine Learning Engineer (AI CORE)

Palo Alto, CA - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

About Us

Nu is one of the largest digital financial platforms in the world with more than 122 million customers across Brazil Mexico and Colombia. Guided by our mission to fight complexity and empower people we are redefining financial services in Latin America and this is still just the beginning of the purple future were building.

Listed on the New York Stock Exchange (NYSE: NU) we combine proprietary technology data intelligence and an efficient operating model to deliver financial products that are simple accessible and human.

Our impact has been recognized by global rankings such as Time 100 Companies Fast Companys Most Innovative Companies and Forbes Worlds Best Bank. Visit our institutional pagehttps:// the role

At AI Core we are scaling the impact of our AI initiatives to become the primary driver of Nubanks most critical decision systems. We are seeking Machine Learning Engineers to lead high-impact research projects that bridge the gap between state-of-the-art AI and production-grade financial systems. You will be responsible for solving complex ambiguous problems using Deep Learning and Foundation Models ensuring our architectures are scalable efficient and driving measurable business results.

As an Machine Learning Engineer (MLE) youre expected to:

Research Execution & Technical Leadership (Complexity & Autonomy)

Lead and execute complex applied research initiatives independently focusing on building and optimizing architectures (e.g. Transformers GNNs) that can be deployed across critical use cases like Credit RecSys GenAI and real-time inference.
Address difficult and ambiguous modeling problems that require coordination across various stakeholders (Data Infra Product) delivering innovative solutions with a clear focus on medium-term impact.
Bridge the gap between research and production by designing architectures that respect MLOps constraints ensuring models are optimized for latency interpretability and cost-efficiency.

Strategic Impact & Collaboration (Impact)

Develop and deliver innovative solutions that address project-level challenges focusing on pushing the latest platform and AI research improvements into downstream production models.
Actively participate in cross-functional collaborations ensuring that research outputs are seamlessly integrated into Nubanks decision-making engines.
Establish technical standards within the AI Core team for experimentation model evaluation and code quality inspiring peers to raise their performance.

Mentorship & Function Contribution (Function Contribution)

Serve as a technical mentor for senior engineers and researchers providing guidance on deep learning fundamentals problem formulation and research methodology.
Actively contribute to the functions growth by participating in mandatory activities like hiring (interview panels) and leading internal task forces to improve our ML lifecycle.
Contribute to thought leadership by participating in research collaborations or internal papers that align with Nubanks strategic goals.

What are we looking for

Professional Experience: 5-7 years in applied AI/ML with a proven track record of delivering research-driven systems into production environments
Technical Mastery:
- Deep expertise inDeep Learning architectures (Transformers Multimodal or GNNs).
- Strong coding skills in Python and proficiency with frameworks like PyTorch JAX or TensorFlow.
- Solid understanding of MLOps and the constraints of deploying models at scale.
Problem Solving: Sophisticated skills in ML problem formulation and the ability to navigate uncertainty when data is messy or unavailable.
Communication: Ability to communicate complex technical concepts to both technical peers and cross-functional stakeholders ensuring alignment and buy-in.
Analytical Capacity: Experience with large-scale experimentation and A/B testing to validate research hypotheses.

Our 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
Extended maternity and paternity leaves
401K
Saving Plans - Health Saving Account and Flexible Spending Account
Work-from-home Allowance
Relocation Assistance Package if applicable.

Role Location

Palo Alto California

Required Experience:

About UsNu is one of the largest digital financial platforms in the world with more than 122 million customers across Brazil Mexico and Colombia. Guided by our mission to fight complexity and empower people we are redefining financial services in Latin America and this is still just the beginning of...

About Us

Our impact has been recognized by global rankings such as Time 100 Companies Fast Companys Most Innovative Companies and Forbes Worlds Best Bank. Visit our institutional pagehttps:// the role

As an Machine Learning Engineer (MLE) youre expected to:

Research Execution & Technical Leadership (Complexity & Autonomy)

Lead and execute complex applied research initiatives independently focusing on building and optimizing architectures (e.g. Transformers GNNs) that can be deployed across critical use cases like Credit RecSys GenAI and real-time inference.
Address difficult and ambiguous modeling problems that require coordination across various stakeholders (Data Infra Product) delivering innovative solutions with a clear focus on medium-term impact.
Bridge the gap between research and production by designing architectures that respect MLOps constraints ensuring models are optimized for latency interpretability and cost-efficiency.

Strategic Impact & Collaboration (Impact)

Develop and deliver innovative solutions that address project-level challenges focusing on pushing the latest platform and AI research improvements into downstream production models.
Actively participate in cross-functional collaborations ensuring that research outputs are seamlessly integrated into Nubanks decision-making engines.
Establish technical standards within the AI Core team for experimentation model evaluation and code quality inspiring peers to raise their performance.

Mentorship & Function Contribution (Function Contribution)

Serve as a technical mentor for senior engineers and researchers providing guidance on deep learning fundamentals problem formulation and research methodology.
Actively contribute to the functions growth by participating in mandatory activities like hiring (interview panels) and leading internal task forces to improve our ML lifecycle.
Contribute to thought leadership by participating in research collaborations or internal papers that align with Nubanks strategic goals.

What are we looking for

Professional Experience: 5-7 years in applied AI/ML with a proven track record of delivering research-driven systems into production environments
Technical Mastery:
- Deep expertise inDeep Learning architectures (Transformers Multimodal or GNNs).
- Strong coding skills in Python and proficiency with frameworks like PyTorch JAX or TensorFlow.
- Solid understanding of MLOps and the constraints of deploying models at scale.
Problem Solving: Sophisticated skills in ML problem formulation and the ability to navigate uncertainty when data is messy or unavailable.
Communication: Ability to communicate complex technical concepts to both technical peers and cross-functional stakeholders ensuring alignment and buy-in.
Analytical Capacity: Experience with large-scale experimentation and A/B testing to validate research hypotheses.