Nubank
Staff Machine Learning Engineer
$230K–$345K
Palo Alto · Hybrid · Staff · Full-time · Posted Jul 20, 2026
- Experience
- 5-7+ years in applied AI/ML.
About the job
Lead applied AI research and build scalable, production-grade machine learning systems for Nu’s critical financial decision systems.
What you'll do
- Lead research initiatives and develop architectures for use cases including Credit, RecSys, GenAI, and real-time inference.
- Bridge research and production by designing models optimized for latency, interpretability, cost-efficiency, and MLOps constraints.
- Set technical standards, mentor engineers and researchers, and collaborate across teams to integrate research into production systems.
What they ask for
- Deep expertise in Deep Learning architectures such as Transformers, Multimodal, or GNNs.
- Strong Python coding skills and proficiency with PyTorch, JAX, or TensorFlow.
- Solid understanding of MLOps and deploying models at scale.
- Experience with large-scale experimentation and A/B testing.
Pay
$230k - $345k (base salary)
Tools
Transformers, GNNs, Python, PyTorch, JAX, TensorFlow, MLOps
AI focus
Applied research and production deployment of deep learning and foundation-model systems for financial decision-making, including Credit, RecSys, GenAI, and real-time inference.
Model-written summary · the original posting is authoritative