Senior Engineer - Generative AI Product Engineering (Remote Eligible)
Company: Capital One
Location: Boston
Posted on: May 1, 2024
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Job Description:
130 5th Ave (22130), United States of America, New York, New
York Senior 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 opportunity Basic
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 utilization 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): $165,100 - $188,500 for Senior Machine Learning Engineer
San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for
Senior Machine Learning Engineer Remote (Regardless of Location):
$140,000 - $159,800 for Senior Machine Learning Engineer Candidates
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
RecruitingAccommodationcapitalone.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 Careerscapitalone.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, Cranston , Senior Engineer - Generative AI Product Engineering (Remote Eligible), Engineering , Boston, Rhode Island
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