Senior Distinguished Engineer - Machine Learning
Company: Capital One
Location: Wilsons
Posted on: May 15, 2022
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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
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