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About
At AI Core, we are scaling the impact of our AI initiatives to become the primary driver of Nubank’s 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), you’re 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 Nubank's decision‑making engines. Establish technical standards
within the AI Core team for experimentation, model evaluation, and code quality, inspiring peers to raise their performance. 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 function's 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 Nubank’s 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 in
Deep 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. Opportunity of earning equity at Nu Total compensation includes base salary, RSUs and benefits. Base salary: $288.000 Medical Insurance Dental and Vision Insurance Life Insurance and AD&D Extended maternity and paternity leaves Nucleo - Our learning platform of courses NuCare - Our mental health and wellness assistance program 401K Saving Plans - Health Saving Account and Flexible Spending Account Work-from-home Allowance Relocation Assistance Package, if applicable. Role Location Palo Alto, California 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/nu-hybrid-work-model/
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Languages
- English
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