Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible)
Company: Capital One
Location: Newark
Posted on: September 15, 2023
Job Description:
Locations: VA - McLean, United States of America, McLean,
VirginiaSr Distinguished Engineer, Generative AI Systems - (Remote-
Eligible)Sr Distinguished Engineer, Generative AI SystemsOur
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 opportunityBasic 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. - -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): $315,100 - $359,700 for Sr Distinguished Machine Learning
EngineerSan Francisco, California (Hybrid On-Site): $333,900 -
$381,000 for Sr Distinguished Machine Learning EngineerRemote
(Regardless of Location): $267,100 - $304,800 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 -. 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, Newark , Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible), Other , Newark, New Jersey
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