Applied Researcher II
Company: Capital One
Location: Washington
Posted on: October 25, 2024
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Job Description:
Center 1 (19052), United States of America, McLean,
VirginiaApplied Researcher IIOverview: At Capital One, we are
creating trustworthy and reliable AI systems, changing banking for
good. For years, Capital One has been leading the industry in using
machine learning to create real-time, intelligent, automated
customer experiences. From informing customers about unusual
charges to answering their questions in real time, our applications
of AI & ML are bringing humanity and simplicity to banking. We are
committed to building world-class applied science and engineering
teams and continue our industry leading capabilities with
breakthrough product experiences and scalable, high-performance AI
infrastructure. At Capital One, you will help bring the
transformative power of emerging AI capabilities to reimagine how
we serve our customers and businesses who have come to love the
products and services we build. Team Description: The AI
Foundations team is at the center of bringing our vision for AI at
Capital One to life. Our work touches every aspect of the research
life cycle, from partnering with Academia to building production
systems. We work with product, technology and business leaders to
apply the state of the art in AI to our business. In this role, you
will: Partner with a cross-functional team of data scientists,
software engineers, machine learning engineers and product managers
to deliver AI-powered products that change how customers interact
with their money. Leverage a broad stack of technologies ---
Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and
more --- to reveal the insights hidden within huge volumes of
numeric and textual data. Build AI foundation models through all
phases of development, from design through training, evaluation,
validation, and implementation. Engage in high impact applied
research to take the latest AI developments and push them into the
next generation of customer experiences. Flex your interpersonal
skills to translate the complexity of your work into tangible
business goals. The Ideal Candidate: You love the process of
analyzing and creating, but also share our passion to do the right
thing. You know at the end of the day it---s about making the right
decision for our customers. Innovative. You continually research
and evaluate emerging technologies. You stay current on published
state-of-the-art methods, technologies, and applications and seek
out opportunities to apply them. Creative. You thrive on bringing
definition to big, undefined problems. You love asking questions
and pushing hard to find answers. You---re not afraid to share a
new idea. A leader. You challenge conventional thinking and work
with stakeholders to identify and improve the status quo. You---re
passionate about talent development for your own team and beyond.
Technical. You---re comfortable with open-source languages and are
passionate about developing further. You have hands-on experience
developing AI foundation models and solutions using open-source
tools and cloud computing platforms. Has a deep understanding of
the foundations of AI methodologies. Experience building large deep
learning models, whether on language, images, events, or graphs, as
well as expertise in one or more of the following: training
optimization, self-supervised learning, robustness, explainability,
RLHF. An engineering mindset as shown by a track record of
delivering models at scale both in terms of training data and
inference volumes. Experience in delivering libraries, platform
level code or solution level code to existing products. A
professional with a track record of coming up with new ideas or
improving upon existing ideas in machine learning, demonstrated by
accomplishments such as first author publications or projects.
Possess the ability to own and pursue a research agenda, including
choosing impactful research problems and autonomously carrying out
long-running projects. Basic Qualifications: Currently has, or is
in the process of obtaining, a PhD, with an expectation that
required degree will be obtained on or before the scheduled start
date plus at least 2 years of experience in Applied Research, or
M.S. plus at least 4 years of experience in Applied Research
Preferred Qualifications: PhD in Computer Science, Machine
Learning, Computer Engineering, Applied Mathematics, Electrical
Engineering or related fields Behavioral Models PhD focus on topics
in geometric deep learning (Graph Neural Networks, Sequential
Models, Multivariate Time Series) Multiple papers on topics
relevant to training models on graph and sequential data structures
at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to
greater than 50m nodes Experience with large scale deep learning
based recommender systems Experience with production real-time and
streaming environments Contributions to common open source
frameworks (pytorch-geometric, DGL) Proposed new methods for
inference or representation learning on graphs or sequences Worked
datasets with 100m users 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): $276,000 - $315,000 for
Applied Researcher IISan Francisco, California (Hybrid On-Site):
$292,400 - $333,700 for Applied Researcher IICandidates 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
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, Ellicott City , Applied Researcher II, Other , Washington, Maryland
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