Machine Learning Engineer- Cloud Deployment (Remote)
Company: Capital One Careers
Location: Charlottesville
Posted on: November 13, 2024
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Job Description:
Distinguished Machine Learning Engineer
As a Capital One Machine Learning Engineer, you'll be providing
technical leadership to engineering teams dedicated to
productionizing machine learning applications and systems at scale.
You'll participate in the detailed technical design, development,
and implementation of machine learning applications using existing
and emerging technology platforms. You'll serve as a technical
domain expert in machine learning, guiding machine learning
architectural design decisions, developing and reviewing model and
application code, and ensuring high availability and performance of
our machine learning applications. You'll have the opportunity to
continuously learn and apply the latest innovations and best
practices in machine learning engineering. You'll also mentor other
engineers and further develop your technical knowledge and skills
to keep Capital One at the cutting edge of technology.
You will lead development and implementation that will enable
business initiatives, working with other leaders and teams across
the enterprise to enable these solutions.-- .
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.
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, C/C++.
Help recruit, nurture, and retain top engineering talent.
Bachelor's degree.
At least 10 years of experience designing and building
data-intensive solutions using distributed computing.
At least 6 years of experience programming in C, C++, Python, or
Scala.
At least 2 years of experience using Dask, RAPIDS, or in High
Performance Computing
Master's or doctoral degree in computer science, electrical
engineering, mathematics, or a similar field.
-3+ years of experience designing, implementing, and scaling--
production-ready data pipelines that feed ML models.
-8+ years of experience within a large/data-intensive multi-line
business environment.
- Experience partnering with technology peers responsible for data
architecture and distributed computing
infrastructure/platforms.
- ML industry impact through conference presentations, papers, blog
posts, or open source contributions.
- Ability to attract and develop high-performing software engineers
with an inspiring leadership style.
The minimum and maximum full-time annual salaries for this role are
listed below, by location. 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 Machine Learning Engineer
This role is also eligible to earn performance based incentive
compensation, which may include cash bonus(es) and/or long term
incentives (LTI). 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.
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. 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.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.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. (
Keywords: Capital One Careers, Washington DC , Machine Learning Engineer- Cloud Deployment (Remote), Engineering , Charlottesville, DC
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