Nubank
Staff Machine Learning Engineer
Palo Alto · Staff+
Sponsorship not specified$230k-$345kDetected 2 days ago
PythonMachine LearningDeep LearningPyTorchNLPMLOpsA/B TestingResearchLeadershipCommunicationCollaborationProblem SolvingMentoring
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.
- 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:
Responsibilities
- 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.
- Develop and deliver innovative solutions that address project-level challenges, focusing on pushing the latest platform and AI research improvements into downstream production models.
- 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.
- Our recruitment process may involve the use of artificial intelligence-enabled tools, such as automated interview transcription and analysis, to support the evaluation process.
Requirements
- Strong coding skills in Python and proficiency with frameworks like PyTorch, JAX, or TensorFlow.
- Sophisticated skills in ML problem formulation and the ability to navigate uncertainty when data is messy or unavailable.
- Ability to communicate complex technical concepts to both technical peers and cross-functional stakeholders, ensuring alignment and buy-in.
- 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.
Skills
- For more details, visit https://building.nubank.com/nu-hybrid-work-model/
- Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.
Compensation
- Base salary range: $230k - $345k
Benefits
- Opportunity of earning equity at Nu
- Total compensation includes base salary, RSUs and benefits.
- 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
- Saving Plans - Health Saving Account and Flexible Spending Account
Company info
- 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.
- Nu is the leading digital bank in Latin America, serving 135 million customers across Brazil, Mexico, and Colombia.
- The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services.
- Guided by its mission to fight complexity and empower people, Nu caters to customers' complete financial journey, promoting financial access and advancement with responsible lending and transparency.
This listing is sourced directly from Nubank's careers page and normalized into a canonical job model.