Lead AI Engineer
Company: Capital One
Location: Wichita Falls
Posted on: October 23, 2024
Job Description:
Center 3 (19075), United States of America, McLean, VirginiaLead
AI EngineerOverview:At Capital One, we are creating trustworthy and
reliable AI systems, changing banking for good. For years, Capital
One has been leading the industry 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 building world-class
applied science and engineering teams and continue delivering 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 plus at least 4 years of experience
developing AI and ML algorithms or technologies, or Master's degree
plus at least 2 years of experience developing AI and ML algorithms
or technologiesPreferred Qualifications:
- 6 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, delivering, and supporting AI
services
- 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
productionCapital 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): $201,400 - $229,900 for Lead
AI EngineerSan Francisco and San Jose, California (Hybrid On-Site):
$213,400 - $243,500 for Lead AI 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, Wichita Falls , Lead AI Engineer, Engineering , Wichita Falls, Texas
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