AI ENGINEER - PRINCIPAL ASSOCIATE LEVEL - CAPITAL ONE
Company: Capital One
Location: York
Posted on: November 1, 2024
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Job Description:
130 5th Ave (22130), United States of America, New York, New
YorkAI Engineer - Principal Associate LevelOverview: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,
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 building world-class applied science
and engineering teams and continue delivering 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. Basic Qualifications:Bachelor's degree in Computer
Science, Engineering, or AI plus at least 1 year of experience
developing AI and ML algorithms or technologies, or Master's
degreePreferred Qualifications:2 years of experience deploying
scalable and responsible AI solutions on cloud platforms (e.g. AWS,
Google Cloud, Azure, or equivalent private cloud)Experience
developing, delivering, and supporting AI componentsExperience
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 costCapital 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):
$165,100 - $188,500 for Senior AI EngineerSan Francisco and San
Jose, California (Hybrid On-Site): $174,900 - $199,700 for Senior
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, Philadelphia , AI ENGINEER - PRINCIPAL ASSOCIATE LEVEL - CAPITAL ONE, Engineering , York, Pennsylvania
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