Machine Learning Engineer 5 (IC)
Core
Design, build, and scale production ML models and multi-tenant platforms to solve complex business problems and drive AI transformations at Capital One.
Role type
Senior IC Machine Learning Engineer (Production & Infrastructure)
Builds
Production ML models, massive multi-tenant training/serving platforms, and optimized data pipelines.
Domain
Financial Services / Machine Learning / Cloud Infrastructure
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 Monitoring, Responsible AI
Preferred skills
Algorithm optimization, Resilient software design, Advanced deployment techniques, Reinforcement Learning, Transformer architectures, Data pipeline scaling
Technologies
PyTorch, TensorFlow, Spark, Ray, Kubernetes, AWS, GCP, Azure
Responsibilities
Design and deliver ML models for real-world business problems; Build and scale multi-tenant platforms for large footprint model training and serving; Inform ML infrastructure decisions regarding model choice, data, and feature selection; Write and test application code to automate tests and deployment; Retrain, maintain, and monitor models in production; Construct optimized data pipelines to feed ML models; Ensure code management and model governance for risk and Responsible AI compliance.
Seniority
Senior, hands-on IC
