Director Software Engineering - Center for Machine Learning
Company: Capital One
Location: Newark
Posted on: August 5, 2022
Job Description:
Center 2 (19050), United States of America, McLean,
VirginiaDirector Software Engineering - Center for Machine
LearningJob DescriptionCapital 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 . 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 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, Newark , Director Software Engineering - Center for Machine Learning, IT / Software / Systems , Newark, New Jersey
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