AI Engineer - Principal Associate Level
Company: Capital One
Location: Carlstadt
Posted on: November 14, 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 degree
Preferred 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 components
Experience developing AI and ML algorithms or technologies (e.g.
LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory)
using Python, C++, C#, Java, or Golang
Master's degree in Computer Science, Computer Engineering, or
relevant technical field
Experience developing and applying state-of-the-art techniques for
optimizing training and inference software to improve hardware
utilization, latency, throughput, and cost
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): $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.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, Hempstead , AI Engineer - Principal Associate Level, Engineering , Carlstadt, New York
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