AI Engineer - Principal Associate Level
Company: Capital One
Location: Charlottesville
Posted on: October 30, 2024
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
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 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 -. 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 . 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, Charlottesville , AI Engineer - Principal Associate Level, Engineering , Charlottesville, Virginia
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