Distinguished Machine Learning Engineer
Company: Capital One
Location: Crofton
Posted on: October 30, 2024
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Job Description:
Center 1 (19052), United States of America, McLean,
VirginiaDistinguished Machine Learning EngineerAs 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.
Distinguished Engineers are expected to lead through technical
contribution. 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. You
will specialize in a particular subject area, but your input and
impact will be sought and expected throughout 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.
As a candidate for this role,you're able to seamlessly switch from
diving deep into technology with engineers to driving high-level,
strategic discussions. You are a naturally curious technologist and
stay on top of emerging trends, including prototyping of nascent
technologies. You are not afraid to question any existing processes
and solutions, yet you display a keen sense of business value
proposition and focus on the right priorities.
Key responsibilities:
Articulate and evangelize a bold technical vision for your
domain
Decompose complex problems into practical and operational
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
Collaborate with tech leaders to drive tech strategy
Evangelize cloud strategy, solutions and best practices across the
enterprise
Basic Qualifications
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)
Preferred Qualifications
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.)
3+ years of experience with Kafka, Airflow, Spark, AWS
Glue/Kinesis
3+ years of experience with streaming and event driven
technologie
1+ year of experience deploying machine learning models
Capital One will consider sponsoring a new qualified applicant for
employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are
listed below, by location. Please note that this salary information
is solely for candidates hired to perform work within one of these
locations, and refers to the amount Capital One is willing to pay
at the time of this posting. 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 EngineerCandidates hired to work in
other locations will be subject to the pay range associated with
that location, and the actual annualized salary amount offered to
any candidate at the time of hire will be reflected solely in the
candidate's offer letter.
This role is also eligible to earn performance based incentive
compensation, which may include cash bonus(es) and/or long term
incentives (LTI). Incentives could be discretionary or non
discretionary depending on the plan.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.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 (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. 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.com
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. (COPSSC).
Keywords: Capital One, Bel Air South , Distinguished Machine Learning Engineer, Engineering , Crofton, Maryland
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