Distinguished Machine Learning Engineer MA
Company: Capital One
Location: Taunton
Posted on: May 7, 2024
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Job Description:
314 Main Street (21020), United States of America, Cambridge,
MassachusettsDistinguished Machine Learning EngineerDistinguished
Machine Learning Engineer
(Director-level)
At 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. The Center for Machine
Learning 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 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.
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.
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, C/C++.
Leverage compute technologies such as Dask and RAPIDS
Evangelize best practices in all aspects of the engineering and
modeling lifecycles.
Help recruit, nurture, and retain top engineering talent.
Basic Qualifications
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 3 years of experience with the full ML development
lifecycle using modern technology in a business critical
setting.
At least 2 years of experience using Dask, RAPIDS, or in High
Performance Computing
At least 2 years of experience with the PyData ecosystem (NumPy,
Pandas, and Scikit-learn)
Preferred Qualifications
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.
Ability to communicate complex technical concepts clearly to a
variety of audiences.
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.
Capital One will consider sponsoring a new qualified applicant for
employment authorization for this position.
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, Meriden , Distinguished Machine Learning Engineer MA, Engineering , Taunton, Connecticut
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