Lead Engineer, Generative AI Product Engineering
Company: Capital One
Location: Petersburg
Posted on: October 16, 2024
Job Description:
Center 3 (19075), United States of America, McLean, VirginiaLead
Engineer, Generative AI Product EngineeringLead 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 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): $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
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, Lynchburg , Lead Engineer, Generative AI Product Engineering, Engineering , Petersburg, Virginia
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