AI Engineer - Remote position
Company: Capital One Careers
Location: Harrisonburg
Posted on: November 15, 2024
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Job Description:
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.
The Intelligent Foundations and Experiences (IFX) team is at the
center of bringing our vision for AI at Capital One to life. 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.
--
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.
- Invent and introduce state-of-the-art LLM optimization techniques
to improve the performance - scalability, cost, latency, throughput
- of large scale production AI systems.
- 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 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.--
Bachelor's degree in Computer Science, Engineering, or AI plus at
least 2 years of experience developing AI and ML algorithms or
technologies, or Master's degree
At least 2 years of experience programming with Python, Go, Scala,
or Java
2 years of experience deploying scalable and responsible AI
solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or
equivalent private cloud)
- 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
The minimum and maximum full-time annual salaries for this role are
listed below, by location. Salaries for part-time roles will be
prorated based upon the agreed upon number of hours to be regularly
worked.
This role is also eligible to earn performance based incentive
compensation, which may include cash bonus(es) and/or long term
incentives (LTI). 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.
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. 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.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.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. (
Keywords: Capital One Careers, Potomac , AI Engineer - Remote position, Engineering , Harrisonburg, Maryland
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