Sr. Lead Machine Learning Engineer

Capital One is seeking a Sr. Lead Machine Learning Engineer in Richmond, VA (onsite) to productionize machine learning applications and systems at scale as part of an Agile team.

Responsibilities

• Design, build, and deliver ML models and components that address real business problems in collaboration with Product and Data Science
• Guide ML infrastructure decisions using knowledge of modeling tradeoffs, including model selection, data and feature selection, training, hyperparameter tuning, dimensionality, bias/variance, and validation
• Develop and validate ML solutions by writing and testing application code, building model workflows, and automating tests and deployment
• Work in a cross-functional Agile team to create and enhance software enabling state-of-the-art big data and ML applications
• 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 supply ML models
• Apply CI/CD best practices, including test automation and monitoring, to support successful releases of ML models and application code
• Ensure well-managed code to reduce vulnerabilities, uphold risk governance for models, and follow Responsible and Explainable AI best practices
• Use programming languages such as Python, Scala, or Java

Requirements

• Bachelor’s Degree
• 8+ years experience designing and building data-intensive solutions using distributed computing (internship experience does not apply)
• 4+ years programming with Python, Scala, or Java
• 3+ years building, scaling, and optimizing ML systems
• 2+ years leading teams developing ML solutions
• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
• 4+ years on-the-job experience with an industry-recognized ML framework: scikit-learn, PyTorch, Dask, Spark, or TensorFlow
• 3+ years developing performant, resilient, and maintainable code
• 3+ years experience with data gathering and preparation for ML models
• 3+ years of people management experience
• 3+ years building production-ready data pipelines that feed ML models
• Ability to communicate complex technical concepts to a variety of audiences
• Experience using interactive AI tooling to accelerate productivity, including capabilities beyond basic code completion

Technologies

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

Benefits

• Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
• Comprehensive, competitive, and inclusive set of health, financial and other benefits supporting total well-being

Preferred Qualifications

• Master’s or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
• ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
• Experience using interactive AI tooling to accelerate productivity beyond basic code completion

Salary

USD 209,000 - 238,500 per year for Richmond, VA.

Additional Information

• Applications are expected to remain open for a minimum of 5 business days
• No agencies please
• Capital One is an equal opportunity employer (EOE) committed to non-discrimination in compliance with applicable federal, state, and local laws
• Capital One promotes a drug-free workplace
• Capital One may consider qualified applicants with a criminal history consistent with applicable laws
• Accommodation requests: 1-800-304-9102 or [email protected]
• Recruiting technical support: [email protected]
• Capital One does not provide, endorse, or guarantee third-party products, services, educational tools, or other information available through this site
• Capital One Financial is made up of several different entities; positions may correspond to different entities depending on location