Machine Learning Engineer 4 - Finance Tech
Core
Design, build, and deliver production ML models and components to solve complex financial business problems, scaling AI transformations across Capital One's financial engine.
Role type
Senior Machine Learning Engineer (Finance Tech)
Builds
Production ML models, optimized data pipelines, and cloud-based ML architectures for forecasting, treasury, trade, and accounting.
Domain
Financial Services / Machine Learning
Deliverable
production ML models
Required skills
Python, Java, Golang, C++, PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn, Spark, Ray, Kubernetes, AWS, GCP, Azure, CI/CD, Responsible AI
Preferred skills
Master's/Doctoral degree, algorithm optimization, resilient software design, advanced deployment techniques, technical leadership, academic publications
Technologies
PyTorch, TensorFlow, Spark, Ray, Kubernetes, AWS, GCP, Azure
Responsibilities
Design and build ML models for real-world business problems; Inform ML infrastructure decisions; Write and test application code; Collaborate in cross-functional Agile teams; Retrain and monitor production models; Build cloud-based architectures; Construct optimized data pipelines; Ensure code management and model governance.
Seniority
Senior, hands-on IC