Lead Machine Learning Engineer

Capital One is seeking a Lead Machine Learning Engineer in McLean, VA (onsite) to productionize ML applications and scale systems within an Agile team.

Responsibilities

• Design, build, and deliver ML models and components that address real-world business challenges, collaborating with Product and Data Science teams
• Guide ML infrastructure decisions by applying modeling techniques and issues, including model choice, data and feature selection, training, hyperparameter tuning, dimensionality, bias/variance, and validation
• Tackle complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployments
• Contribute as part of a cross-functional Agile team to develop software for advanced 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
• Create optimized data pipelines to feed ML models
• Apply continuous integration and continuous deployment best practices, including test automation and monitoring for ML models and application code
• Ensure code quality and governance, minimize vulnerabilities, and follow Responsible and Explainable AI practices
• Program in Python, Scala, or Java

Requirements

• Bachelor’s Degree
• At least 6 years of experience 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
• At least 2 years of experience building, scaling, and optimizing ML systems

Technologies

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

Benefits

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