Capital One Distinguished Engineer, Machine Learning in Richmond, Virginia

West Creek 5 (12075), United States of America, Richmond, Virginia

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Distinguished Engineer, Machine Learning

Are you passionate about using data and technology to solve Enterprise-scale problems? Do you enjoy solving complex problems with open source technologies in a fast-paced, collaborative, and iterative delivery environment?

As a Capital One Distinguished Machine Learning Engineer, you’ll be at the center of high-visibility, high-impact Machine Learning strategic initiatives; so if you’re interested in big data challenges, read on. In this role, you’ll act as an engineering leader for Machine Learning enablement, providing technical vision and strategic road maps for the adoption of cutting-edge big data solutions and open source frameworks implemented in the cloud. You’ll be working with a broad spectrum of technologies: Scala, Java, Python, Spark, Kafka, Keras, Hadoop, Scikit-learn, Tensorflow, API microservices, and AWS/Cloud Infrastructure to name a few.

The right candidate is someone who is passionate about the potential of machine learning, but also passionate about providing thought-leadership and strategic direction to a great group of engineers. We're looking for someone who welcomes challenges and is hyper-focused on delivering exceptional results to internal business customers while creating a rewarding team environment.


-Champion Machine Learning throughout the organization and spearhead efforts to set standards

of technical excellence and operational understanding

-Make big moves to advance technical excellence; ensuring that we’re taking advantage of

advances in Machine Learning and maximizing untapped correlations in data

-Determining readiness of new big/fast data solutions to support critical operational processes

-Ensure adherence to enterprise architecture and usage of enterprise platforms when delivering


-Provide oversight for budgets and project plans, and manage technology risks and issues

Basic Qualifications:

-Bachelor’s Degree or military experience

-At least 5 years of experience in Data Engineering Practices

-At least 15 years of developing software in a machine learning or big data domain

-At least 3 years of experience with data processing technologies such as Spark, Hadoop, Python,

Scala, Hive

Preferred Qualifications:

-Master’s Degree in Computer Science, Engineering, or Management of Info Systems/Technology

-Experience with the full AWS stack

-Background in agile SW development and Scaled Agile Frameworks

-Exposure to Python Machine Learning libraries such as Scikit-learn and Tensorflow

-At least 5 years of experience in financial or other highly regulated industry

-At least 5 Years of experience architecting big data data solutions

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.