Senior Lead Machine Learning Engineer

Capital One - Newport News, VA

Full-time - Senior

Newport News, VA

Credit Intermediation and Related Activities

About the position

As a Senior Lead Machine Learning Engineer at Capital One, you will be part of an Agile team focused on productionizing machine learning applications and systems at scale. Your role will involve the technical design, development, and implementation of machine learning applications, ensuring high availability and performance. You will collaborate with cross-functional teams to solve complex business problems using machine learning techniques and technologies.

Responsibilities

• Design, build, and deliver ML models and components that solve real-world business problems.
• Inform ML infrastructure decisions using understanding of ML modeling techniques and issues.
• Write and test application code, develop and validate ML models, and automate tests and deployment.
• Collaborate with a cross-functional Agile team to enhance software for big data and ML applications.
• Retrain, maintain, and monitor models in production.
• Leverage or build cloud-based architectures to deliver optimized ML models at scale.
• Construct optimized data pipelines to feed ML models.
• Implement continuous integration and continuous deployment best practices for ML models and application code.
• Ensure code is well-managed to reduce vulnerabilities and models are well-governed from a risk perspective.

Requirements

• Bachelor's degree
• At least 8 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 3 years of experience building, scaling, and optimizing ML systems
• At least 2 years of experience leading teams developing ML solutions

Nice-to-haves

• Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
• 4+ years of experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
• 3+ years of experience developing performant, resilient, and maintainable code
• 3+ years of experience with data gathering and preparation for ML models
• 3+ years of people management experience
• ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
• 3+ years of experience building production-ready data pipelines that feed ML models
• Ability to communicate complex technical concepts clearly to a variety of audiences

Benefits

• Comprehensive health benefits
• Financial benefits
• Inclusive set of benefits supporting total well-being