Capital One is seeking a Lead Machine Learning Engineer to productionize ML applications and systems at scale onsite in McLean, VA.

Design, develop, and deliver ML models and components that address real business needs, collaborating with Product and Data Science teams.
Inform ML infrastructure decisions through solid understanding of modeling techniques, data and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation.
Solve complex problems by writing robust application code, developing and validating ML models, and automating tests and deployment processes.
Collaborate within a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production to ensure ongoing performance and reliability.
Leverage or build cloud-based architectures, technologies, and platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models with high-quality, timely data.
Apply continuous integration and continuous deployment best practices, including test automation and monitoring, for successful deployment of models and code.
Ensure code quality and governance to reduce vulnerabilities and align with Responsible and Explainable AI practices.
Utilize programming languages such as Python, Scala, or Java to implement ML solutions.

Bachelor’s degree required.
Minimum of 6 years designing and building data-intensive solutions using distributed computing; internship experience does not apply.
At least 4 years of experience programming with Python, Scala, or Java.
Minimum of 2 years of experience building, scaling, and optimizing ML systems.

Lead Machine Learning Engineer

Job Description