Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible)
Company: CAPITAL ONE
Location: Mclean
Posted on: October 19, 2024
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Job Description:
Locations: VA - McLean, United States of America, McLean,
VirginiaSr Distinguished Engineer, Generative AI Systems - (Remote-
Eligible)Sr Distinguished Engineer, Generative AI Systems 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 Distinguished Engineer, AI Systems, to help us build the
foundations of our enterprise AI Capabilities. You will work on a
wide range of initiatives, whether that---s designing robust,
secure infrastructure, building large-scale distributed training
clusters, deploying LLMs on GPU instances for real-time use cases,
or supporting cutting-edge AI research and development, all in our
public cloud infrastructure. You will work with a team of AI
engineers and researchers to envision the target state of our
capabilities while helping to design and implement key services.
Examples of projects you will work on include: 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
infrastructure for serving large ML models, in our public cloud.
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 implement benchmarks to measure the performance of
software systems within AI capabilities and make recommendations on
technology selection Develop applications that leverage LLMs and
FMs. Design and implement capabilities to support MLOps for
foundation models. 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 9 years of experience designing and building distributed
computing HPC and large-scale ML systems At least 6 years of
experience developing AI and ML algorithms in Python or C/C++ At
least 3 years of experience with the full ML development lifecycle
using AI and ML frameworks and public cloud. Preferred
Qualifications: Master---s degree or PhD in Engineering, Computer
Science, a related technical field, or equivalent practical
experience with a focus on modern AI techniques. Experience
designing large-scale distributed platforms and/or systems in cloud
environments such as AWS, Azure, or GCP. Experience architecting
cloud systems for security, availability, performance, scalability,
and cost. Experience with delivering very large models through the
MLOps life cycle from exploration to serving. Experience with
building GPU clusters in the public cloud with tightly-coupled
storage and networking. Experience with the complete stack for
distributed training of large models including ML compilers,
distributed training frameworks, and ML development frameworks such
as Pytorch, Tensorflow, Lightning etc. Experience with one or
multiple areas of AI technology stack including prompt engineering,
guardrails, vector databases/knowledge bases, LLM hosting and
fine-tuning. Authored research publications in top peer-reviewed
conferences, or industry-recognized contributions in the space of
neural networks, distributed training and SysML. 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): $321,500 - $366,900 for Sr Distinguished Machine Learning
EngineerSan Francisco and San Jose, California (Hybrid On-Site):
$340,500 - $388,700 for Sr Distinguished Machine Learning
EngineerRemote (Regardless of Location): $272,400 - $310,900 for Sr
Distinguished 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 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, Sioux City , Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible), Other , Mclean, Iowa
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