Sr. Lead Machine Learning Engineer

Join Capital One as a Sr. Lead Machine Learning Engineer in McLean, VA, onsite. The role offers a competitive annual compensation of USD 229,900 - 262,400, plus comprehensive health benefits, financial rewards, and performance-based incentives. You will work within an Agile team to design, develop, and productionize scalable ML applications and architectures, with a strong emphasis on ML design, model governance, and delivering high availability and strong performance.

Responsibilities

• Design, build, and deliver ML models and components that address real world business needs, collaborating with Product and Data Science teams.
• Inform ML infrastructure decisions through modeling concepts, 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 deployment.
• Work as part of a cross functional Agile team to create software that powers state of the art big data and ML applications.
• Retrain, maintain, and monitor models in production to ensure ongoing performance.
• Leverage or build cloud based architectures and platforms to deliver optimized ML models at scale.
• Construct optimized data pipelines to feed ML models.
• Apply continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure reliable deployments of models and code.
• Ensure code quality, governance of models, and adherence to Responsible and Explainable AI principles.
• Program in Python, Scala, or Java.

Technologies

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

Basic Qualifications

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

Preferred Qualifications

• Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a related field
• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
• 4+ years of on-the-job experience with industry recognized ML frameworks 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
• Experience leveraging interactive AI tooling to accelerate productivity beyond basic code completion

Benefits

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