Manager, Machine Learning Engineering
Company: Capital One
Posted on: June 25, 2022
Locations: VA - McLean, United States of America, McLean,
VirginiaManager, Machine Learning EngineeringAs 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, youll 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. Youll also mentor other engineers and develop your
technical knowledge and skills to keep Capital One at the cutting
edge of technology.
What youll do in the role:
Manage a team of engineers with deep experience in machine learning
and distributed systems.
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,
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
Function as a technical lead.
Attract, recruit, and support diverse ML engineering talent.
Mentor junior ML engineering talent
At least 6 years of experience designing and building
data-intensive solutions using
At least 4 years of experience programming with Python, Scala, or
At least 2 years of experience building, scaling, and optimizing ML
At least 2 years of people leader experience
Master's or doctoral degree in computer science, electrical
engineering, mathematics, or a similar field
3+ years of experience building production-ready data pipelines
that feed ML models
3+ years of on-the-job experience with an industry recognized ML
framework such as scikit-learn, PyTorch, Dask, Spark, or
2+ years of experience developing performant, resilient, and
2+ years of experience with data gathering and preparation for ML
1+ years of experience leading teams developing ML solutions using
industry best practices, patterns, and automation
Experience developing and deploying ML solutions in a public cloud
such as AWS, Azure, or Google Cloud Platform
Experience designing, implementing, and scaling complex data
pipelines for ML models and evaluating their performance
ML industry impact through conference presentations, papers, blog
posts, open source contributions, or patents
At this time, Capital One will not sponsor a new applicant for
employment authorization for this position.
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 Citys Fair Chance Act; Philadelphias 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, Baltimore , Manager, Machine Learning Engineering, Engineering , Dillsburg, Maryland
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