Director, Software Engineering – Machine Learning
McLean, VA
Are you a high-performing software engineer passionate about building production-quality applications using cutting-edge technologies in the machine learning space? Capital One’s Center for Machine Learning (C4ML) is on a journey to help us become a machine learning company.
The right candidate is someone who is passionate about data-driven technologies but also passionate about leading and mentoring a great group of data, software and machine learning 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.
Responsibilities
Provide senior level leadership during application design and development for highly complex or critical machine learning projects across numerous lines of business and shared technology.
Build and lead high-performing, agile teams focused on Engineering and Machine Learning
Determining readiness of new big/fast data capabilities to be used to support critical operational processes
Ensure cross collaboration with sister teams in other geographies
Ensure adherence to enterprise architecture and usage of enterprise platforms when delivering projects
Provide oversight for budgets and project plans, and manage technology risks and issues
Solve complex business problems by embracing Machine Learning as a solution
Basic Qualifications
Bachelor’s Degree or military experience
At least 7 years of experience in Data Engineering or Software Engineering Practices
At least 3 years of experience with data technologies (Spark, Hadoop, or Hive)
At least 3 years of experience with programming languages (Scala, Python, Go or Rust)
At least 2 years of experience in developing machine learning solutions
At least 2 years of experience leading engineering teams
Preferred Qualifications
Master’s Degree in Computer Science, Engineering, or Management of Info Systems/Technology
5+ years of experience in developing machine learning solutions
5+ years of experience in financial or other highly regulated industry
5+ Years of experience defining data architectures
5+ Years of experience leading product engineering teams
3+ years of experience influencing executives and solving strategic business problems
Experience with the full AWS stack
Experience building microservices
Background in agile SW development and Scaled Agile Frameworks
Interested in applying to this career opportunity?
Please email Taylor Frank, [email protected], and include Director, Software Engineering – Machine Learning in the subject line.
