Senior Lead Engineer - Generative AI Infrastructure (Remote-Eligible)
Company: Capital One
Location: Fort Worth
Posted on: September 21, 2023
Job Description:
201 Third Street (61049), United States of America, San
Francisco, CaliforniaSenior Lead Engineer - Generative AI
Infrastructure (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. Lead Engineer, Generative AI Infrastructure to help us build
the foundations of our AI capabilities. You will work on a wide
range of initiatives, whether that's building large-scale
distributed training clusters, or deploying LLMs on GPU instances
for real-time applications and decisioning systems, or supporting
cutting-edge AI research and development, all in our public cloud
infrastructure. You will work closely with our cloud and container
infrastructure teams as well as our world-class team of AI
researchers to design and implement key capabilities.-- Examples of
projects you will work on:--
- Deploy a thousand-node training cluster optimizing storage and
networking stack, with tightly coupled training pipelines to take
advantage of multiple parallelism strategies, in our public
cloud.--
- Design and build fault-tolerant infrastructure to support
long-running large-scale training tasks reliably despite failure of
individual nodes, using containers and check-pointing
libraries.--
- Design and build run-time infrastructure for serving large ML
models such as LLMs and FMs in our public cloud.
- Build infrastructure for deploying search indexes and
embeddings in vector databases that will work closely with the rest
of our capabilities.--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 designing and building
data-intensive solutions using distributed computing
- At least 4 years of experience with HPCs, vector embedding, or
semantic search technologies
- At least 4 years of experience programming with Python, Scala,
or Java
- At least 3 years of experience building, scaling, and
optimizing training and inferencing systems for deep neural
networks--Preferred Qualifications:
- Master's or Doctoral degree in Computer science, Computer
Engineering, Electrical engineering, Mathematics, or a similar
field.
- Background in machine learning with experience in large scale
training and deployment of deep neural nets and/or transformer
architectures.
- Experience with machine learning frameworks such as TensorFlow
or Pytorch, Lightning, Mosaic ML etc.
- 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.--
- Experience with building GPU clusters in the public cloud with
tightly-coupled storage and networking.--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):
$230,100 - $262,700 for Sr. Lead Machine Learning EngineerSan
Francisco, California (Hybrid On-Site): $243,800 - $278,200 for Sr.
Lead Machine Learning EngineerRemote (Regardless of Location):
$195,000 - $222,600 for Sr. Lead 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--. Eligibility varies based on full or part-time status,
exempt or non-exempt status, and management level.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,
race, color, age, national origin, religion, physical and mental
disability, genetic information, marital status, sexual
orientation, gender identity/assignment, citizenship, pregnancy or
maternity, protected veteran status, or any other status prohibited
by applicable national, 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, Fort Worth , Senior Lead Engineer - Generative AI Infrastructure (Remote-Eligible), Engineering , Fort Worth, Texas
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