Director, Data Product Strategy & Governance
Company: Capital One
Location: Scranton
Posted on: September 24, 2024
Job Description:
130 5th Ave (22130), United States of America, New York, New
YorkSenior 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 Senior 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. -
-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 4 years of experience designing and building and
deploying ML application platforms.
- At least 4 - years of experience programming with Python, Go,
Scala, or Java
- At least 1 - year of experience building, scaling, and
optimizing training or inferencing systems for - deep neural
networks -
Preferred Qualifications:
- Familiarity with building large-scale AI products or platforms
for NLP, speech, computer vision, or recommendation systems serving
millions of users. -
- Familiarity with Graph or Network Theory and Graph ML,
including relevant frameworks and libraries such as Deep Graph
Learning (DGL) or PyTorch or NetworkX
- Familiarity with graph querying tools such as Apache Tinkerpop
Gremlin, Apache Spark Graphframes, or graph databases.
- 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.
- Experience with optimizing ML algorithms and software
implementations for speed, efficiency and resource utilizationAt
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): $165,100 - $188,500 for Senior Machine
Learning EngineerSan Francisco, California (Hybrid On-Site):
$174,900 - $199,700 for Senior Machine Learning EngineerRemote
(Regardless of Location): $140,000 - $159,800 for Senior 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 -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 ; 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 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, Scranton , Director, Data Product Strategy & Governance, Executive , Scranton, Pennsylvania
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