Senior Distinguished Engineer - Machine Learning

Company: Capital One
Location: Highland, Maryland, United States
Type: Full-time
Posted: 03.SEP.2021
< >

Summary

1750 Tysons (12023), United States of America, McLean, Virginia Senior Distinguished Engineer - Machine Learning Distinguished Engineers are...

Description

1750 Tysons (12023), United States of America, McLean, Virginia Senior Distinguished Engineer - Machine Learning Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions.

  • Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices
  • Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates
  • Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
  • Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities
Responsibilities:
  • Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
  • Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team
  • Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible
  • Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization
  • Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner
  • Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent
Basic Qualifications:
  • Bachelor's Degree
  • At least 10 years experience in Software Engineering, Application Architecture or Infrastructure Solution design
  • At least 5 years experience in application design, CI/CD, development in a cloud environment
  • At least 3 years experience working with AWS
  • At least 3 years experience working with open source software
  • At least 3 years experience architecting and designing ML solutions and platforms
  • At least 3 years experience working in an Agile environment
Preferred Qualifications:
  • Master's Degree
  • 12+ year of experience with Technology solutions in the following areas: Cloud Infrastructure, Container Platforms & Serverless, AWS, ML platforms, high-availability deployment patterns (blue/green, canary, etc.), real-time monitoring and logging in cloud environments
  • 3+ years of experience with Machine Learning algorithms and techniques
  • 3+ years of experience with Machine Learning processes, such as Data Management and Feature Creation, Model Development and Training, Model Pipeline/Workflow/MLDC, Model Serving/Deployment/Execution, and Model Governance and Monitoring
  • 3+ years of experience with Python and associated open source Machine Learning libraries (such as Pandas, NumPy, etc.), and Jupityr notebooks
  • 3+ years experience with Kubernetes and container management/orchestration
  • 3+ years experience with Kubernetes hosted ML workflow tools (i.e. KubeFlow)
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

 
Apply Now

Share

Flash-bkgn
Loader2 Processing ...