Senior Lead Engineer - Generative AI Product Engineering (Remote Eligible)
Company: Capital One
Location: Richmond
Posted on: October 15, 2024
Job Description:
Center 1 (19052), United States of America, McLean,
VirginiaSenior Lead Engineer - Generative AI Product Engineering
(Remote Eligible)Our mission at Capital One is to create
trustworthy, reliable and human-in-the-loop AI systems, changing
banking for good. - For years, Capital One has been leading the
industry in using machine learning to - create real-time,
intelligent, automated customer experiences. 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. Because of our investments in public cloud
infrastructure and machine learning platforms, we are now uniquely
positioned to harness the power of AI. We are committed to building
world-class applied science and engineering teams and continue 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. -We are looking for an experienced Sr. Lead Engineer to help
build and maintain APIs and SDKs to train, fine-tune and access AI
models at scale. You will work as part of our Enterprise AI team
and build systems that will enable our users to work with
Large-Language Models (LLMs) and Foundation Models (FMs), using our
public cloud infrastructure. - You will work with a team of
world-class AI engineers and researchers - to design and implement
key API products and services of our capabilities - and enable
real-time customer-facing applications powered by these
capabilities. - Examples of projects you will work on include:
-
- Architect, build and deploy well-managed core APIs and SDKs to
access LLMs and our proprietary FMs including training, fine-tuning
and prompting tasks, including orchestration SDKs. -
- Design APIs for performance, real-time applications, scale,
ease of use and governance automation. -
- Develop application-specific interfaces that leverage LLMs and
FMs to continue to enhance the associate and customer experience..
-
- Enable our users to build new AI capabilities
- Develop tools and processes to monitor API access patterns and
operational health.
- Design and implement AI safety and guardrails in the API layer
working closely with researchers. -Capital One is open to hiring a
Remote Employee for this opportunity.Basic Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering or
a technical field.
- At least 8 years of experience designing and building
data-intensive solutions using distributed computing and cache
optimization techniques.
- At least 8 years of experience programming with Python, Go,
Scala, or Java -
- At least 1 year of experience building, scaling, and optimizing
training or inferencing systems for deep neural networks -
-Preferred Qualifications:
- Familiarity with building large-scale AI products or platforms
for NLP, speech, computer vision, or recommendation systems serving
millions of users. -
- Ability to move fast in an environment with ambiguity at times,
and with competing priorities and deadlines. -
- Experience at tech and product-driven companies/startups
preferred. -
- Ability to iterate rapidly with researchers and engineers to
improve a product experience while building the foundational
capabilities
- Familiarity with deploying large neural network models in
demanding production environments. -
- Have experience with API security, observability, cloud access
control and privacy best practices. -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 Machine Learning EngineerSan
Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr.
Lead Machine Learning 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, Reston , Senior Lead Engineer - Generative AI Product Engineering (Remote Eligible), Engineering , Richmond, Virginia
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