Lead Machine Learning Engineer

Capital One is seeking a Lead Machine Learning Engineer to join their Machine Learning Experience (MLX) team. This role focuses on automating governance within the model development lifecycle, working with model training, feature engineering, and serving metadata at scale. The position is at the forefront of how Capital One builds and deploys well-managed ML models and features, driving innovation and research to seamlessly infuse ML into the company's fabric.

The ideal candidate will collaborate with cross-functional teams to build systems that handle large amounts of model and feature metadata, partner with product teams to create scalable solutions, and leverage cloud-based architectures for ML model deployment. They will be responsible for constructing optimized data pipelines, using languages like Python, Scala, or Java, and implementing MLOps best practices.

This role requires extensive experience in machine learning, including working with advanced models like LLMs and transformer-based architectures. The position offers the opportunity to work on cutting-edge ML applications and contribute to building the future of financial technology. Capital One provides a collaborative environment where innovation is encouraged and technical excellence is valued.

The role combines technical leadership with hands-on development, requiring both deep ML expertise and the ability to guide teams in implementing best practices. This position is perfect for someone passionate about machine learning, interested in working at the intersection of finance and technology, and eager to shape the future of ML applications at enterprise scale.