Lead Machine Learning Engineer

Capital One offers an on-site opportunity in McLean, VA for a Lead Machine Learning Engineer. The role features a competitive annual base salary in the range of USD 197,300 to 225,100, plus performance-based incentives and potential long-term incentives. You’ll join an Agile environment with a culture that emphasizes collaboration, learning, and delivering scalable ML solutions, along with comprehensive health and financial benefits and other programs to support your growth.

Responsibilities

• Design, develop, and deploy ML models and components that address real business needs, collaborating with Product and Data Science teams.
• Guide ML infrastructure decisions by applying modeling techniques, including model selection, data and feature choices, training, hyperparameter tuning, dimensionality, bias and variance considerations, and validation.
• Tackle complex problems by writing and testing application code, building and validating ML models, and automating tests and deployment processes.
• Work within a cross-functional Agile team to build software that powers advanced big data and ML applications.
• Retrain, maintain, and monitor models in production environments.
• Leverage or construct cloud-based architectures and platforms to deliver optimized ML models at scale.
• Create optimized data pipelines to feed ML models.
• Apply continuous integration and continuous deployment practices, including test automation and monitoring, to ensure reliable deployment of models and code.
• Manage code quality to minimize vulnerabilities and ensure governance, with adherence to Responsible and Explainable AI principles.
• Proficient in programming with Python, Scala, or Java.

Technologies

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

Requirements

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

Benefits

• Performance-based incentive compensation, which may include cash bonuses and long-term incentives
• Health benefits
• Financial benefits
• Other benefits