Machine Learning Engineer - Remote
Company: Capital One Careers
Location: Wilmington
Posted on: November 1, 2024
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Job Description:
Distinguished Machine Learning Engineer
As a Distinguished Engineer at Capital One, you will be a part of a
community of technical experts working to define the future of
banking in the cloud.
You will work alongside our talented team of developers, machine
learning experts, product managers and people leaders. Our
Distinguished Engineers are leading experts in their domains,
helping devise practical and reusable solutions to complex
problems. You will drive innovation at multiple levels, helping
optimize business outcomes while driving towards strong technology
solutions.
At Capital One, we believe diversity of thought strengthens our
ability to influence, collaborate and provide the most innovative
solutions across organizational boundaries. You will promote a
culture of engineering excellence, and strike the right balance
between lending expertise and providing an inclusive environment
where the ideas of others can be heard and championed. You will
lead the way in creating next-generation talent for Capital One
Tech, mentoring internal talent and actively recruiting to keep
building our community.
You will operate as a trusted advisor for our key technologies,
platforms and capability domains, creating clear and concise
communications, code samples, blog posts and other material to
share knowledge both inside and outside the organization. In this
role, you will be supporting the Bank Tech organization. You will
lead development and implementation that will enable business
initiatives, working with other leaders and teams across the
enterprise to enable these solutions.--
Ensure the quality of technical design and implementation
Serve as an authoritative expert on non-functional system
characteristics, such as performance, scalability and
operability
Continue learning and injecting advanced technical knowledge into
our community
Handle several projects simultaneously, balancing your time to
maximize impact
Act as a role model and mentor within the tech community, helping
to coach and strengthen the technical expertise and know-how of our
engineering and product community
Explore new cloud technologies and identify applications to
leverage their potential
Develop patterns for cloud to enable emerging business
initiatives
Evangelize cloud strategy, solutions and best practices across the
enterprise
Bachelor's Degree
At least 7 years of experience with solution architecture or
software engineering
At least 5 years of experience with cloud computing (AWS, Microsoft
Azure, Google Cloud)
At least 3 years of experience with Machine Learning frameworks
(Pytorch, TensorFlow, XGBoost, ScikitLearn)
Master's Degree in Computer Science or a related field
-10+ years of professional experience in the full lifecycle of
system development, from conception through architecture,
implementation, testing, deployment and production support
-7+ years of experience using Python or Java, or Go, and SQL
-6+ years of experience in Machine Learning frameworks (Pytorch,
TensorFlow, XGBoost, ScikitLearn, etc.)
-1+ year of experience deploying machine learning models
The minimum and maximum full-time annual salaries for this role are
listed below, by location. Salaries for part-time roles will be
prorated based upon the agreed upon number of hours to be regularly
worked.
New York City (Hybrid On-Site): $274,800 - $313,600 for
Distinguished Machine Learning Engineer
This role is also eligible to earn performance based incentive
compensation, which may include cash bonus(es) and/or long term
incentives (LTI). Capital One offers a comprehensive, competitive,
and inclusive set of health, financial and other benefits that
support your total well-being. Learn more at the -- Capital One
Careers website . Eligibility varies based on full or part-time
status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5
business days.
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
(including pregnancy, childbirth or related medical conditions),
race, color, age, national origin, religion, disability, genetic
information, marital status, sexual orientation, gender identity,
gender reassignment, citizenship, immigration status, protected
veteran status, or any other basis prohibited under applicable
federal, state or local law. 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.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.Capital 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. (
Keywords: Capital One Careers, Cherry Hill , Machine Learning Engineer - Remote, Engineering , Wilmington, New Jersey
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