Senior Engineer - Generative AI Product Engineering
Company: Capital One
Location: San Jose
Posted on: May 8, 2024
Job Description:
201 Third Street (61049), United States of America, San
Francisco, CaliforniaSenior Engineer - Generative AI Product
Engineering 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. 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.
- 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. 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. San Francisco, California (Hybrid
On-Site): $174,900 - $199,700 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
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, San Bruno , Senior Engineer - Generative AI Product Engineering, Engineering , San Jose, California
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