Distinguished Engineer, Generative AI Systems (Remote Eligible)
Company: Capital One
Location: San Francisco
Posted on: October 15, 2024
Job Description:
Center 1 (19052), United States of America, McLean,
VirginiaDistinguished Engineer, Generative AI Systems (Remote
Eligible)Distinguished Engineer, Generative AI Systems (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 Distinguished Engineer, AI Systems, to
develop model inference services and infrastructure for AI models
at scale. . You will work as part of our Enterprise AI team and
build a platform, that enable Capital One to build AI applications
powered by Large-Language Models (LLMs) and Foundation Models
(FMs). You will design robust, secure infrastructure, deploying
LLMs on GPU accelerated instances for real-time use cases and
supporting cutting-edge AI research and development, all in 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. -
- Architect, build and deploy well-managed platform APIs to
access LLMs and our proprietary FMs. -
- Design AI model serving systems for performance, real-time
applications, scale, ease of use and governance automation. -
- Optimize inference performance for LLMs and other FMs for cost,
latency, throughput, resiliency.
- Design and implement benchmarks to measure the performance of
AI model serving systems and make recommendations on technology
selection.
- Develop tools and processes to monitor API access patterns and
operational health.
- Enable our users to build new GenAI capabilities. -
- 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 7 years of experience designing and building
distributed computing HPC and large-scale ML systems -
- At least 5 years of experience developing AI and ML systems
using Python or golang
- 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 developing applications that leverage LLMs and
FMs.
- 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 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): $274,800 - $313,600 for Distinguished Machine Learning
EngineerSan Francisco and San Jose, California (Hybrid On-Site):
$291,100 - $332,300 for Distinguished Machine Learning
EngineerSales Territory or Remote (Regardless of Location):
$232,900 - $265,800 for 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.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 . 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 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 , Distinguished Engineer, Generative AI Systems (Remote Eligible), Other , San Francisco, California
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