Capital One Distinguished Engineer - Card Machine Learning 

United States, Virginia, Arlington 

101048221

Center 1 (19052), United States of America, McLean, Virginia Distinguished Engineer - Card Machine Learning

You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.

Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.

In this role you will work at the intersection of Machine Learning and Data Engineering. Specifically, we have an ambitious goal to reduce time to market of our business critical models by 50% which will require platform thinking and pipeline optimization/automation with a goal of making model deployment pipelines self-serve as much as possible and "templatizing" approaches. You will be required to influence across Data Science, MLEs, Tech and Product organizations to create a destination target state for the organization that achieves our goals, creating a multi-year blueprint on how Data, ML and MLOps can effectively interwork for success. You will also be at the forefront of GenAI initiatives working with multiple Card Tech partners and Enterprise groups to envision, develop PoCs and help take GenAI ideas to market for Card in partnership with Enterprise.

Key responsibilities:

• Articulate and evangelize a bold technical vision for your domain

• Decompose complex problems into practical and operational solutions

• Ensure the quality of technical design and implementation

• Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability

• Continue learning and injecting advanced technical knowledge into our community

• Handle several projects simultaneously, balancing your time to maximize impact

• Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community

• Effective storyteller that can tie business objectives and tech imperatives in a cohesive manner

• Deliver ML models to production and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams.

Basic Qualifications

• Bachelor’s Degree

• At least 7 years of years of experience in software engineering and solution architecture

  At least 7 years of years of experience in enterprise architecture and design patterns

• At least 5 years of experience in data engineering using Spark, Python, Java, or Scala

• At least 3 years of experience in cloud computing (AWS, Microsoft Azure, Google Cloud)

• At least 2 years of experience in the MLOps development lifecycle using AI and ML frameworks

Preferred Qualifications:

• Bachelor's or Master's Degree in Computer Science or a related field

• 10+ years of professional experience coding in Java, Python, or Scala

• 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support

• 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models

New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished EngineerThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.