Capital One - McLean, VA
posted 4 months ago
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. The Enterprise ML Tooling team at Capital One constructs AI servicing solutions to meet the needs of our customers. Our team is at the forefront of AI engineering at Capital One turning great research into usable product. You will work with researchers from the AI Foundations team in an effort to deploy, scale, experiment and validate extremely large multimodal models. Partner with teams of data scientists, machine learning engineers and software reliability experts to deploy custom large language, sequence, graph and traditional machine learning models. Use a broad set of technologies - PyTorch, HuggingFace, AWS SageMaker, Kubernetes, and Apache Spark in an effort to scale up existing models to support millions of customers. Support the AI Foundations team with engineering expertise and in ad-hoc development operations support. Design and build automated solutions to manual machine learning processes in order to move research products into deployed models. Interface with enterprise platform owners and senior engineering leadership in order to build and manage existing and upcoming solutions.