Lead Machine Learning Engineer
Company: Capital One
Location: Orland Park
Posted on: May 11, 2022
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Job Description:
77 West Wacker Dr (35012), United States of America, Chicago,
IllinoisLead Machine Learning Engineer(IC) Lead Machine Learning
Engineer As a Capital One Machine Learning Engineer, you'll be part
of an Agile team 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. Working within an Agile environment, you'll
serve as a technical lead, helping guide 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 develop your technical knowledge and skills to keep
Capital One at the cutting edge of technology.What you'll do in the
role: ? Deliver ML software models and components that solve
real-world business problems, while working in collaboration with
the Product and Data Science teams.? Solve complex problems by
writing and testing application code, developing and validating ML
models, and automating tests and deployment.? Collaborate as part
of a cross-functional Agile team to create and enhance software
that enables state-of-the-art, next generation big data and machine
learning applications.? Leverage cloud-based architectures and
technologies to deliver optimized ML models at scale.? Construct
optimized data pipelines to feed ML models.? Use programming
languages like Python, Scala, or Java.? Leverage continuous
integration and continuous deployment best practices, including
test automation and monitoring, to ensure successful deployment of
ML models and application code.? Advocate for software and machine
learning engineering best practices.? Function as a technical
lead.? Mentor junior ML engineering talent.Basic Qualifications ?
Bachelor's degree.? At least 6 years of experience designing and
building data-intensive solutions using distributed computing.? At
least 4 years of experience programming with Python, Scala, or
Java.? At least 2 years of experience building, scaling, and
optimizing ML systems.? At least 1 year of experience with the full
ML development lifecycle using modern technology in a business
critical setting.Preferred Qualifications ? Master's or doctoral
degree in computer science, electrical engineering, mathematics, or
a similar field.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, race, color, age, national
origin, religion, physical and mental disability, genetic
information, marital status, sexual orientation, gender
identity/assignment, citizenship, pregnancy or maternity, protected
veteran status, or any other status prohibited by applicable
national, 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, Orland Park , Lead Machine Learning Engineer, Engineering , Orland Park, Illinois
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