Senior Distinguished Engineer - Machine Learning

Company: Capital One
Location: Wilsons
Posted on: May 15, 2022

Job Description:

1750 Tysons (12023), United States of America, McLean, VirginiaSenior Distinguished Engineer - Machine LearningDistinguished 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 practicesVisionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associatesRole models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product communityEvangelists, 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 capabilitiesResponsibilities:Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-inStrike 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 teamPromote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possibleEffectively communicate with and influence key stakeholders across the enterprise, at all levels of the organizationOperate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified mannerLead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talentBasic Qualifications: Bachelor's Degree At least 10 years experience in Software Engineering, Application Architecture or Infrastructure Solution designAt least 5 years experience in application design, CI/CD, development in a cloud environmentAt 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 platformsAt least 3 years experience working in an Agile environmentPreferred Qualifications: Master's Degree12+ 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 Monitoring3+ years of experience with Python and associated open source Machine Learning libraries (such as Pandas, NumPy, etc.), and Jupityr notebooks3+ years experience with Kubernetes and container management/orchestration3+ 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.No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.comCapital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Keywords: Capital One, Richmond , Senior Distinguished Engineer - Machine Learning, Engineering , Wilsons, Virginia