Director, Machine Learning Cyber Engineer
Company: Capital One
Location: Silver Spring
Posted on: April 24, 2024
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Job Description:
West Creek 2 (12072), United States of America, Richmond,
VirginiaDirector, Machine Learning Cyber EngineerCyber security is
one of the biggest threats of our day. In this role, you will have
the opportunity to do work that protects our company and our
customers. We're looking for someone who is passionate about cyber
security and will help us achieve our business needs by driving
delivery of Cyber tools and by integrating with software and
processes across the company. Ensuring that Capital One's Cyber
Detection and Mitigation system capabilities are able to
continually grow to address the newest/latest threats. As a Capital
One Machine Learning Cyber Engineer, you'll be providing technical
leadership to Agileteams dedicated to productionizing machine
learning applications and systems at scale. You'llparticipate in
the detailed technical design, development, and implementation of
machinelearning applications using existing and emerging technology
platforms. Working within an Agileenvironment, you'll serve as a
technical domain expert in machine learning, guiding
machinelearning architectural design decisions, developing and
reviewing model and application code,and ensuring high availability
and performance of our machine learning applications. You'll
havethe opportunity to continuously learn and apply the latest
innovations and best practices inmachine learning engineering.
You'll also mentor other engineers and further develop
yourtechnical knowledge and skills to keep Capital One at the
cutting edge of technology. What you'll do in the role: Deliver ML
models 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. Drive the creation and evolution of ML models and
software that enable state-of-the-art intelligent systems. Own the
business or technical vision, collaborate with large
cross-functional teams, secure commitments on deliverables and
unblock teams to land business impact Lead large-scale ML
initiatives with the customer in mind. Leverage cloud-based
architectures and technologies to deliver optimized ML models at
scale. Optimize data pipelines to feed ML models. Use programming
languages like Python, Scala, or Java. Evangelize best practices in
all aspects of the engineering and modeling lifecycles. Attract and
develop high-performing software engineers with an inspiring
leadership style. Leverage your strong interpersonal,
presentation/storytelling, and communications skills. Demonstrate
Machine Learning industry impact through conference presentations,
papers, blog posts, open source contributions, or patents. Basic
Qualifications Bachelor's degree At least 7 years of experience
designing and building data solutions using distributed computing.
At least 6 years of experience programming with Python, Scala, or
Java. At least 5 years of people management experience. At least 3
years of experience with the machine learning development
lifecycle. Preferred Qualifications 5+ years of experience
delivering technical solutions Master's or doctoral degree in
computer science, electrical engineering or mathematics. 8+ years
of experience within a data focused multi-line business
environment. 5+ years of experience designing, building,
implementing, and scaling production-ready data pipelines for 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
Director, Machine Learning EngineeringCandidates 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.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, Olney , Director, Machine Learning Cyber Engineer, Executive , Silver Spring, Maryland
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