Lead Machine Learning Engineer (Enterprise Platforms Technology)

This on-site role in McLean, VA focuses on productionizing ML applications and systems at scale within Capital One's Enterprise Platforms Technology group.

Responsibilities

• Design, build, and deliver ML models and components that address real world business problems, in collaboration with Product and Data Science teams.
• Inform ML infrastructure decisions through understanding of modeling techniques and issues, including model selection, data, feature engineering, model training, hyperparameter tuning, dimensionality, bias/variance, and validation.
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
• 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.
• Leverage or build cloud-based architectures, technologies, and platforms to deliver optimized ML models at scale.
• Construct optimized data pipelines to feed ML models.
• Apply continuous integration and continuous deployment practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
• Ensure code is well governed to minimize vulnerabilities, and that models meet risk and Responsible AI / Explainable AI standards.
• Use programming languages such as Python, Scala, or Java.

Requirements

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

Technologies

• Python, Scala, Java
• scikit-learn, PyTorch, Dask, Spark, TensorFlow
• AWS, Azure, Google Cloud Platform

Benefits

• Health benefits
• Financial benefits
• Performance-based incentive compensation (cash bonuses and/or long-term incentives)