Lead Machine Learning Engineer

Lead Machine Learning Engineer (MLE) at Capital One. As a Capital One Machine Learning Engineer (MLE), you’ll be part of an Agile team building models and productionizing machine learning applications and systems at scale.

• Design, build, and/or deliver ML models and components that solve real-world business problems
• Inform ML infrastructure decisions using your understanding of ML modeling techniques and issues
• Solve complex problems by writing and testing application code
• Collaborate as part of a cross-functional Agile team to create and enhance software
• Retrain, maintain, and monitor models in production
• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
• Construct optimized data pipelines to feed ML models
• Leverage continuous integration and continuous deployment best practices
• Ensure all code is well-managed to reduce vulnerabilities
• Ensure models are well-governed from a risk perspective
• Use programming languages like Python, Scala, or Java

• Bachelor’s degree
• At least 6 years of experience designing and building data-intensive solutions using distributed computing
• At least 4 years of experience programming with Python, Scala, or Java
• At least 2 years of experience building, scaling, and optimizing ML systems

• 401k matching
• Health insurance
• Flight privileges
• Long-term incentives (LTI)
• Cash bonus(es)

Capital One is a leading global bank that offers a wide range of financial services to individuals, businesses, and institutions.