Lead Machine Learning Engineer Applied AI Scientist

Nubank; São Paulo; Presencial; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A digital banking platform in São Paulo is looking for a Lead Machine Learning Engineer to spearhead significant AI research projects. The ideal candidate will have 5-7+ years of applied AI/ML experience with a deep mastery of complex Deep Learning architectures. Key responsibilities include solving ambiguous problems, driving strategic impact through innovative solutions, and mentoring engineers. The company promotes a hybrid work model and offers a comprehensive benefits package including equity opportunities, medical plans, and a focus on personal and professional growth.

Serviços

Chance of earning equity at Nubank

Food/Meal Card

Public Transportation Benefit

NuCare – Psychological Assistance

Life Insurance

Medical Plan

Dental Plan

NuLanguage – Language Course Program

Learning platform

Extended Parental Leave

Daycare Allowance

Work-from-home Allowance

Gym Partnerships

30 days of paid vacation

Relocation Assistance Package

Qualificações

• 5-7+ years in applied AI/ML with proven production system delivery.
• Deep expertise in Deep Learning architectures such as Transformers or GNNs.
• Strong coding skills in Python and proficiency with ML frameworks.

Responsabilidades

• Lead and execute complex applied research initiatives.
• Develop innovative solutions to project-level challenges.
• Serve as a technical mentor for senior engineers and researchers.

Conhecimentos

Deep Learning architectures

Python

MLOps

Problem formulation skills

Communication skills

Large-scale experimentation

Ferramentas

PyTorch

JAX

TensorFlow

Descrição da oferta de emprego

Overview

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.

About the role

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 a Lead Machine Learning Engineer (Applied AI Scientist) 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 Applied AI Scientist (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.
• 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 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.

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
• Relocation Assistance Package, if applicable

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 the plain text page without link