Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible)
Company: Capital One
Location: Bedford Park
Posted on: October 17, 2024
|
|
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
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, DeKalb , Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible), Other , Bedford Park, Illinois
Click
here to apply!
|