AI Engineer - Sr. Manager Level (IC)
Company: Capital One
Location: New York
Posted on: October 29, 2024
Job Description:
201 Third Street (61049), United States of America, San
Francisco, CaliforniaAI Engineer - Sr. Manager Level
(IC)Overview: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 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 technologiesPreferred 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.New York City (Hybrid
On-Site): $234,700 - $267,900 for Sr. Lead AI EngineerSan Francisco
and San Jose, California (Hybrid On-Site): $248,700 - $283,800 for
Sr. 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, Cherry Hill , AI Engineer - Sr. Manager Level (IC), Executive , New York, New Jersey
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