Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible)
Company: Capital One
Location: Cambridge
Posted on: October 15, 2024
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 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 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.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, Lynn , Senior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible), Executive , Cambridge, Massachusetts
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