Senior Lead Engineer - Generative AI Product Engineering
Company: Capital One
Location: Plano
Posted on: May 1, 2024
Job Description:
314 Main Street (21020), United States of America, Cambridge,
MassachusettsSenior Lead Engineer - Generative AI Product
EngineeringOur 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. 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 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, Dallas , Senior Lead Engineer - Generative AI Product Engineering, Engineering , Plano, Texas
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