Distinguished Engineer - Card Machine Learning
Company: Capital One
Location: New York
Posted on: October 24, 2024
Job Description:
Center 1 (19052), United States of America, McLean,
VirginiaDistinguished Engineer - Card Machine LearningAt Capital
One, we believe that machine learning represents the biggest
opportunity in financial services today, and is a chance to
revolutionize the industry. Capital One's commitment to machine
learning has sponsorship from the CEO, the Board of Directors, and
the executive committee of the company. Card Tech Machine Learning
(CTML) - is at the heart of this effort, and is leading the way
towards building responsible and impactful tools, platforms, and
solutions that leverage ML. - -As a Distinguished Engineer at
Capital One, you will be a part of a community of technical experts
working to define the future of banking in the cloud.You will work
alongside our talented team of developers, machine learning
experts, product managers and people leaders. Our Distinguished
Engineers are leading experts in their domains, helping devise
practical and reusable solutions to complex problems. You will
drive innovation at multiple levels, helping optimize business
outcomes while driving towards strong technology solutions.At
Capital One, we believe diversity of thought strengthens our
ability to influence, collaborate and provide the most innovative
solutions across organizational boundaries. You will promote a
culture of engineering excellence, and strike the right balance
between lending expertise and providing an inclusive environment
where the ideas of others can be heard and championed. You will
lead the way in creating next-generation talent for Capital One
Tech, mentoring internal talent and actively recruiting to keep
building our community.Distinguished Engineers are expected to lead
through technical contribution. You will operate as a trusted
advisor for our key technologies, platforms and capability domains,
creating clear and concise communications, code samples, blog posts
and other material to share knowledge both inside and outside the
organization. You will specialize in a particular subject area, but
your input and impact will be sought and expected throughout the
organization.In this role you will work at the intersection of
Machine Learning and Data Engineering. Specifically, we have an
ambitious goal to reduce time to market of our business critical
models by 50% which will require platform thinking and pipeline
optimization/automation with a goal of making model deployment
pipelines self-serve as much as possible and "templatizing"
approaches. You will be required to influence across Data Science,
MLEs, Tech and Product organizations to create a destination target
state for the organization that achieves our goals, creating a
multi-year blueprint on how Data, ML and MLOps can effectively
interwork for success. You will also be at the forefront of GenAI
initiatives working with multiple Card Tech partners and Enterprise
groups to envision, develop PoCs and help take GenAI ideas to
market for Card in partnership with Enterprise. -If you are ready
to provide thought leadership and build engineering excellence
across Capital One's engineering teams, come join us in our mission
to change banking for good. -Key responsibilities:
- Articulate and evangelize a bold technical vision for your
domain
- Decompose complex problems into practical and operational
solutions
- Ensure the quality of technical design and implementation
- Serve as an authoritative expert on non-functional system
characteristics, such as performance, scalability and
operability
- Continue learning and injecting advanced technical knowledge
into our community
- Handle several projects simultaneously, balancing your time to
maximize impact
- Act as a role model and mentor within the tech community,
helping to coach and strengthen the technical expertise and
know-how of our engineering and product community
- Effective storyteller that can tie business objectives and tech
imperatives in a cohesive manner
- Deliver ML models to production and software components that
solve challenging business problems in the financial services
industry, working in collaboration with the Product, Architecture,
Engineering, and Data Science teams.Basic Qualifications
- Bachelor's Degree
- At least 7 years of years of experience in -software
engineering and solution architectureAt least 7 years of years of
experience in -enterprise architecture and design patterns
- At least 5 years of experience in data engineering using Spark,
Python, Java, or Scala
- At least 3 years of experience in cloud computing (AWS,
Microsoft Azure, Google Cloud)
- At least 2 years of experience in the MLOps development
lifecycle using AI and ML frameworksPreferred Qualifications: -
- Bachelor's or Master's Degree in Computer Science or a related
field
- 10+ years of professional experience coding in Java, Python, or
Scala
- 10+ years of professional experience in the full lifecycle of
system development, from conception through architecture,
implementation, testing, deployment and production support
- 3+ years of experience designing, implementing, and scaling -
production-ready data pipelines that feed ML models -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): $274,800 - $313,600 for Distinguished 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 -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.comCapital 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, Passaic , Distinguished Engineer - Card Machine Learning, Engineering , New York, New Jersey
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