Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible)
Company: Capital One
Location: Newark
Posted on: April 24, 2024
Job Description:
201 Third Street (61049), United States of America, San
Francisco, CaliforniaSenior Manager, Generative AI Product
Engineering - People Leader - (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. Manager 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 opportunityBasic Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering or
a technical field.
- At least 8 years of experience programming with Python, Go,
Scala, or C/C++ -
- At least 5 years of experience designing and building and
deploying ML applications.
- At least 2 years of experience mentoring and - leading teams
developing AI and Machine Learning solutions
- At least 4 years of people management experience. -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. Mgr, Machine Learning EngineeringSan
Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr.
Mgr, Machine Learning EngineeringRemote (Regardless of Location):
$198,900 - $227,000 for Sr. Mgr, Machine Learning
EngineeringCandidates 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, Newark , Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible), Executive , Newark, New Jersey
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