Machine Learning Engineer 4
Core
Design, build, and deliver production ML models and components to solve complex business problems, scaling AI transformations across Capital One.
Role type
Senior IC Machine Learning Engineer
Builds
Production ML models, optimized data pipelines, and cloud-based ML architectures
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, model training, hyperparameter tuning, dimensionality reduction, bias/variance analysis, model monitoring, data pipeline construction, Responsible AI practices
Preferred skills
ML algorithm optimization, software development best practices, resilient software solution design, advanced deployment techniques, technical leadership, academic publication
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
