Senior Lead AI Engineer
Company: Capital One
Location: New York
Posted on: January 27, 2025
Job Description:
Senior Lead AI EngineerOverview:At Capital One, we are creating
responsible and reliable AI systems, changing banking for good. For
years, Capital One has been an industry leader in using machine
learning to create real-time, personalized customer experiences.
Our investments in technology infrastructure and world-class talent
- along with our deep experience in machine learning - position us
to be at the forefront of enterprises leveraging AI. 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. We are committed to continuing to build
world-class applied science and engineering teams to deliver 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.Team
Description:The Intelligent Foundations and Experiences (IFX) team
is at the center of bringing our vision for AI at Capital One to
life. We work hand-in-hand with our partners across the company to
advance the state of the art in science and AI engineering, and we
build and deploy proprietary solutions that are central to our
business and deliver value to millions of customers. - Our AI
models and platforms empower teams across Capital One to enhance
their products with the transformative power of AI, in responsible
and scalable ways for the highest leverage impact. -In this role,
you will: -
- Partner with a cross-functional team of engineers, research
scientists, technical program managers, and product managers to
deliver AI-powered products that change how our associates work and
how our customers interact with Capital One.
- Design, develop, test, deploy, and support AI software
components including foundation model training, large language
model inference, similarity search, guardrails, model evaluation,
experimentation, governance, and observability, etc.
- Leverage a broad stack of Open Source and SaaS AI technologies
such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails,
PyTorch, and more.
- Invent and introduce state-of-the-art LLM optimization
techniques to improve the performance - scalability, cost, latency,
throughput - of large scale production AI systems.
- Contribute to the technical vision and the long term roadmap of
foundational AI systems at Capital One. -The Ideal Candidate:
- You love to build systems, take pride in the quality of your
work, and also share our passion to do the right thing. You want to
work on problems that will help change banking for good. -
- Passion for staying abreast of the latest research, and an
ability to intuitively understand scientific publications and
judiciously apply novel techniques in production.
- You adapt quickly and thrive on bringing clarity to big,
undefined problems. You love asking questions and digging deep to
uncover the root of problems and can articulate your findings
concisely with clarity. You have the courage to share new ideas
even when they are unproven.
- You are deeply Technical. You possess a strong foundation in
engineering and mathematics, and your expertise in hardware,
software, and AI enable you to see and exploit optimization
opportunities that others miss. -
- You are a resilient trail blazer who can forge new paths to
achieve business goals when the route is unknown. -Basic
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or AI plus
at least 6 years of experience developing AI and ML algorithms or
technologies, or Master's degree plus at least 4 years of
experience developing AI and ML algorithms or technologies
- At least 6 years of experience programming with Python, Go,
Scala, or JavaPreferred Qualifications:
- 7 years of experience deploying scalable and responsible AI
solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or
equivalent private cloud)
- Experience designing, developing, integrating, delivering, and
supporting complex AI systems -
- Demonstrated ability to lead and mentor an engineering team and
influence cross-functional stakeholders
- Experience developing AI and ML algorithms or technologies
(e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails,
Memory) using Python, C++, C#, Java, or Golang
- Master's degree in Computer Science, Computer Engineering, or
relevant technical field
- Experience developing and applying state-of-the-art techniques
for optimizing training and inference software to improve hardware
utilization, latency, throughput, and cost
- Passion for staying abreast of the latest AI research and AI
systems, and judiciously apply novel techniques in production
- Excellent communication and presentation skills, with the
ability to articulate complex AI concepts to peersCapital 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.McLean, VA: $225,400 -
$257,200 for Sr. Lead AI Engineer -Cambridge, MA: $225,400 -
$257,200 for Sr. Lead AI Engineer -New York, NY: $245,900 -
$280,600 for Sr. Lead AI Engineer -San Francisco, CA: $245,900 -
$280,600 for Sr. Lead AI Engineer -San Jose, CA: $245,900 -
$280,600 for Sr. Lead AI Engineer - - - - - -Candidates 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 . 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, East Orange , Senior Lead AI Engineer, Engineering , New York, New Jersey
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