Senior Manager, AI Engineering (People Leader)
Company: Capital One
Location: San Francisco
Posted on: November 13, 2024
Job Description:
Senior Manager, AI Engineering (People Leader)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.
- Oversee the design, development, testing, deployment, and
support AI software components including foundation model training,
large language model inference, similarity search, guardrails,
model evaluation, experimentation, governance, and observability,
etc.
- Make high judgment build-vs-buy decisions across 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.
- Attract and retain top talent in the AI industry and nurture
personal and professional development for your team. Foster a
culture of learning and staying abreast of the state-of-the-art in
AI.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 get fulfillment from empowering others to achieve their
potential and you actively drive professional development through
mentoring and coaching. You are hands-on when necessary and lead by
example.
- 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 or leading AI and ML
algorithms or technologies, or Master's degree plus at least 4
years of experience developing or leading AI and ML algorithms or
technologies.
- At least 1 year of people leadership experience.Preferred
Qualifications:
- 3 years of experience managing and leading an engineering
team.
- 6 years of experience deploying scalable and responsible AI
solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or
equivalent private cloud).
- Experience developing AI and ML algorithms or technologies
(e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails,
Memory).
- Master's degree in Computer Science, Computer Engineering, or
relevant technical field.
- 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. Mgr, AI EngineeringSan
Francisco and San Jose, California (Hybrid On-Site): $248,700 -
$283,800 for Sr. Mgr, AI Engineering.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
RecruitingAccommodation@capitalone.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 Careers@capitalone.com.
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Keywords: Capital One, Sunnyvale , Senior Manager, AI Engineering (People Leader), Engineering , San Francisco, California
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