Director Software Engineering - Center for Machine
Company: Capital One
Location: Ocean City
Posted on: July 31, 2022
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Job Description:
Center 2 (19050), United States of America, McLean, Virginia
Director Software Engineering - Center for Machine Learning Job
Description Capital One is committed to becoming a leader in
machine learning, and using machine learning to deliver better
financial services to our customers. We are seeking a Director of
Software Engineering to help lead, build and drive the continued
growth of our machine learning model training platform. This
individual will be part of our technology organization, and will
lead teams building machine learning platforms and tools that
transform the way we make decisions. Capital One's technology
organization leads the financial services industry. We have adopted
the public cloud (AWS) for our technology infrastructure, and this
provides the compute and storage capabilities necessary to power
machine learning at a scale and speed that was not previously
possible using on-prem offerings. We are undertaking a massive
transformation in our data ecosystem to enable real-time streaming
data and modern analytics platforms that can handle the volume and
variety of data available at Capital One. At Capital One we believe
that machine learning represents the biggest opportunity in
financial services today. Our goal is to revolutionize the industry
through real-time intelligent platforms. Capital One's commitment
to machine learning has sponsorship from the CEO, the Board of
Directors, and the executive committee of the company. Our
Directors Are: 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
Strong people leaders who are experienced in leading engineers and
managers of engineers. Visionaries, helping solve Capital One's
toughest technology challenges, to deliver on business needs that
directly impact the lives of millions of our customers and
associates Experts in recruiting and managing technical teams,
including performance management Role models and mentors, helping
to coach and strengthen the technical expertise and know-how of our
engineering and product community Responsibilities: Build a
world-class machine learning platform at Capital One by tackling
some seriously thorny issues like infrastructure complexity
abstraction, data access and feature registration, integration with
back-end Capital one systems, how to scale a massive model training
offering while remaining efficient and well managed, how to do all
of this while maintaining a slick and easy to use user experience.
Set vision to truly disrupt the financial services industry through
leading edge machine learning capabilities. Build the vision and
the roadmap as to where the organization will go, what the
priorities should be, creating both near-term and long-term wins
from the delivery of the foundational platform that all machine
learning will run on. As a naturally curious leader, stay abreast
of and determine how to fully leverage existing and emerging
machine learning offerings where applicable. Contribute to
developing a robust operating model for machine learning
applications that provides a clear development path from POC to
prototype to full enterprise-class capabilities. Nurture a healthy
collaborative engineering culture, and provide transparency to
business and technology leaders on selection and prioritization of
machine learning capabilities and their progress. Partner with the
enterprise risk partners to stand up proper governance and
oversight of machine learning capabilities. ? Basic Qualifications:
Bachelor's Degree At least 7 years of experience in Software
Engineering At least 5 years of people management experience At
least 4 years of working with a data or Machine Learning platform.
At least 4 years of experience in cloud native development
Preferred Qualifications: Masters Degree 8 years of experience in
building a multi-tenant platform and scaling. 6 years of experience
in AWS 4 years experience working with Machine Learning platforms
(SageMaker, EMR, KubeFlow, Vertex AI) 5 years of experience with
machine learning, deep learning, and statistical modeling using
Scikit Learn, XGBoost, TensorFlow, Keras, or PyTorch. 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
RecruitingAccommodationcapitalone.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 Careerscapitalone.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, Camden , Director Software Engineering - Center for Machine, IT / Software / Systems , Ocean City, New Jersey
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