Lead Engineer Generative AI Product Engineer
Company: Capital One
Location: Richmond
Posted on: October 15, 2024
Job Description:
Center 3 (19075), United States of America, McLean, VirginiaLead
Engineer Generative AI Product EngineerLead 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
Lead Generative AI 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
that enable real-time customer-facing applications. - 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 GenAI 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 6 years of experience designing and building
data-intensive solutions using distributed computing and cache
optimization techniques -
- At least 6 years of experience programming with Python, Go,
Scala, or Java
- At least 1 years of experience building, scaling, and
optimizing training or inferencing systems for - deep neural
networks - -Preferred Qualifications:
- Familiarity with building large-scale AI and ML products or
platforms serving millions of users. -
- Experience designing large-scale distributed platforms and/or
systems in cloud environments such as AWS, Azure, or GCP.
- Experience with Kubernetes and KubeFlow workloads is
preferred.
- Familiarity with the Model Development Lifecycle and MLOps
preferred.
- Experience architecting cloud systems for security,
availability, performance, scalability, and cost.
- 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.
- Have experience with API security, observability, cloud access
control and privacy best practices. -
- Familiarity with deploying AI or ML models in demanding
production environments. -At this time, Capital One will not
sponsor a new applicant for employment authorization, or offer any
immigration related support for this position (i.e. H1B, F-1 OPT,
F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work
authorization).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):
$201,400 - $229,900 for Lead Machine Learning EngineerSan Francisco
and San Jose, California (Hybrid On-Site): $213,400 - $243,500 for
Lead Machine Learning EngineerRemote (Regardless of Location):
$170,700 - $194,800 for 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 , Lead Engineer Generative AI Product Engineer, Engineering , Richmond, Virginia
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