Lead Machine Learning Engineer Applied AI Scientist
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Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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 worlds 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 Nubanks most critical decision systems. We are seeking an 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) 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
- 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 Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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