SENIOR MANAGER, AI ENGINEER - CAPITAL ONE
Company: Capital One
Location: York
Posted on: November 8, 2024
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Job Description:
Center 3 (19075), United States of America, McLean,
VirginiaSenior Manager, AI EngineerOverview:At Capital One, we are
creating responsible and reliable AI systems, changing banking for
good. For years, Capital One has been an industry leader in using
machine learning to create real-time, personalized customer
experiences. Our investments in technology infrastructure and
world-class talent - along with our deep experience in machine
learning - position us to be at the forefront of enterprises
leveraging AI. 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 continuing to build world-class applied science and engineering
teams to deliver 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 Intelligent
Foundations and Experiences (IFX) team is at the center of bringing
our vision for AI at Capital One to life. We work hand-in-hand with
our partners across the company to advance the state of the art in
science and AI engineering, and we build and deploy proprietary
solutions that are central to our business and deliver value to
millions of customers. Our AI models and platforms empower teams
across Capital One to enhance their products with the
transformative power of AI, in responsible and scalable ways for
the highest leverage impact. In this role, you will: Partner with a
cross-functional team of engineers, research scientists, technical
program managers, and product managers to deliver AI-powered
products that change how our associates work and how our customers
interact with Capital One.Design, develop, test, deploy, and
support AI software components including foundation model training,
large language model inference, similarity search, guardrails,
model evaluation, experimentation, governance, and observability,
etc.Leverage a broad stack of Open Source and SaaS AI technologies
such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails,
PyTorch, and more.Invent and introduce state-of-the-art LLM
optimization techniques to improve the performance - scalability,
cost, latency, throughput - of large scale production AI
systems.Contribute to the technical vision and the long term
roadmap of foundational AI systems at Capital One. The Ideal
Candidate:You love to build systems, take pride in the quality of
your work, and also share our passion to do the right thing. You
want to work on problems that will help change banking for good.
Passion for staying abreast of the latest research, and an ability
to intuitively understand scientific publications and judiciously
apply novel techniques in production.You adapt quickly and thrive
on bringing clarity to big, undefined problems. You love asking
questions and digging deep to uncover the root of problems and can
articulate your findings concisely with clarity. You have the
courage to share new ideas even when they are unproven.You are
deeply Technical. You possess a strong foundation in engineering
and mathematics, and your expertise in hardware, software, and AI
enable you to see and exploit optimization opportunities that
others miss. You are a resilient trail blazer who can forge new
paths to achieve business goals when the route is unknown. Basic
Qualifications:Bachelor's degree in Computer Science, Engineering,
or AI plus at least 6 years of experience developing AI and ML
algorithms or technologies, or Master's degree plus at least 4
years of experience developing AI and ML algorithms or
technologiesAt least 6 years of experience programming with Python,
Go, Scala, or JavaPreferred Qualifications:7 years of experience
deploying scalable and responsible AI solutions on cloud platforms
(e.g. AWS, Google Cloud, Azure, or equivalent private
cloud)Experience designing, developing, integrating, delivering,
and supporting complex AI systems Demonstrated ability to lead and
mentor an engineering team and influence cross-functional
stakeholdersExperience developing AI and ML algorithms or
technologies (e.g. LLM Inference, Similarity Search and VectorDBs,
Guardrails, Memory) using Python, C++, C#, Java, or GolangMaster's
degree in Computer Science, Computer Engineering, or relevant
technical fieldExperience developing and applying state-of-the-art
techniques for optimizing training and inference software to
improve hardware utilization, latency, throughput, and costPassion
for staying abreast of the latest AI research and AI systems, and
judiciously apply novel techniques in productionExcellent
communication and presentation skills, with the ability to
articulate complex AI concepts to peers 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):
$234,700 - $267,900 for Sr. Lead AI EngineerSan Francisco and San
Jose, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead
AI 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.comCapital 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, Washington DC , SENIOR MANAGER, AI ENGINEER - CAPITAL ONE, Executive , York, DC
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