Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible)
Company: Capital One
Location: Lincolnwood
Posted on: October 17, 2024
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Job Description:
Center 3 (19075), United States of America, McLean,
VirginiaSenior 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
opportunity
Basic 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 and San Jose, 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 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.com
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, Des Plaines , Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible), Engineering , Lincolnwood, Illinois
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