Machine Learning Engineer 5 (Senior Manager, IC)
Core
Build and deploy proprietary AI-powered solutions for risk management, including massive multi-tenant platforms for model training and serving, to prevent risks and detect issues for Capital One's customers and business.
Role type
Senior Manager, hands-on IC Machine Learning Engineer
Builds
Production ML models, scalable multi-tenant ML platforms, and optimized data pipelines for risk management
Domain
Financial services / Risk Technology / Machine Learning
Deliverable
production ML models
Required skills
Python, Java, Golang, C++, PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn, Spark, Ray, AWS, GCP, Azure, Kubernetes, CI/CD, model training, hyperparameter tuning, data pipeline construction, cloud architecture
Preferred skills
Algorithm optimization, resilient software design, advanced deployment techniques, incident response planning, deep learning architectures (RNNs, CNNs, LSTMs, Transformers), open source contributions
Technologies
PyTorch, TensorFlow, Spark, Ray, Kubernetes, AWS, GCP, Azure
Responsibilities
Design and build ML models solving real-world business problems; Build and scale massive multi-tenant platforms for ML training and serving; Inform ML infrastructure decisions regarding model choice, data, and features; Write and test application code to develop and validate ML models; Collaborate in cross-functional Agile teams to create big data and ML applications; Retrain, maintain, and monitor models in production; Construct optimized data pipelines to feed ML models; Ensure code management, model governance, and Responsible AI practices
Seniority
Senior Manager, hands-on IC
