Senior Manager, AI Engineer
Company: Capital One
Location: Sandy Hook
Posted on: October 30, 2024
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Job Description:
Center 3 (19075), United States of America, McLean, Virginia
Senior Manager, AI Engineer Overview: 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 Java Preferred 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 peers 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): $234,700 - $267,900 for Sr.
Lead AI Engineer San Francisco and San Jose, California (Hybrid
On-Site): $248,700 - $283,800 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
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, Tuckahoe , Senior Manager, AI Engineer, Executive , Sandy Hook, Virginia
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