Staff Machine Learning Engineer

Nu serves more than 140 million customers guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services.

Proprietary technology and data at scale power Nus digital platform built to promote financial access advancement and transparency. Its business model thrives on customer love and lower costs feeding a flywheel of growth and profitability.

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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:

1. 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.

1. 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.

1. 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

• Total compensation includes base salary RSUs and benefits. Base salary range: $230k - $345k

• 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
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 recruitment process may involve the use of artificial intelligenceenabled tools such as automated interview transcription and analysis to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.

To maintain a consistent and fair process for every candidate Nu does not provide individualized technical feedback. See how our policy works here

Required Experience:

Staff IC