Sr. Distinguished Machine Learning Engineer - Card Tech (Remote Eligible)
Company: Capital One
Location: Tinley Park
Posted on: January 22, 2023
Locations: VA - McLean, United States of America, McLean,
Sr. Distinguished Machine Learning Engineer - Card Tech (Remote
As a Capital One Sr. Distinguished Machine Learning Engineer,
you'll be providing technical leadership to Agile 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. Working within an
Agile environment, 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.
The Sr. Distinguished Machine Learning Engineer will be a part of
the Card Tech Machine Learning (CTML) organization and will be will
be responsible for defining and delivering technical solutions with
significant complexity that have broad cross-organizational impact
in a production Machine Learning portfolio that spans platforms,
operations, applied research, and platform migration and onboarding
initiatives. These programs are in support of a robust horizontal
program that scales Responsible AI practices across the entire
ML/AI ecosystem within Card Technology. As Senior MLE, you will
partner closely with internal enterprise ML platform(s), data
science, enterprise data, cyber and cloud infrastructure teams, as
well as line-of-business teams to oversee and influence the
architectural and technical aspects from start to finish. A deep
technical understanding of software engineering best practices,
cloud infrastructure, batch and real-time machine learning, and
platforms-as-a-service operating model is required. This role
requires customer focus, effective communication and deep technical
acumen. It also requires partnering with all levels of leadership
and building consensus by representing, verbally and in writing,
complex decisions, and tough trade-offs towards a north star ML
vision that you will help craft.
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, or Java.
- Evangelize best practices in all aspects of the engineering and
- Recruit, nurture, and retain top engineering talent. Capital
One is open to hiring a remote employee for this opportunity.
- 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 with Python, Scala,
- At least 2 years of experience with the full ML development
lifecycle using modern technology in a business critical setting.
- 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.
- 5+ years of experience in leading software engineering
- 8+ years of experience within a large/data-intensive multi-line
- Expertise designing, implementing, and scaling complex
production-ready data pipelines for ML models.
- Experience partnering with technology peers responsible for
data architecture and distributed computing
- Ability to communicate complex technical concepts clearly to a
variety of audiences.
- Highly developed interpersonal, presentation, and
- ML industry impact through conference presentations, papers,
blog posts, open source contributions, or patents.
- People management experience.
- Ability to attract and develop high-performing software
engineers with an inspiring leadership style. At this time, Capital
One will not sponsor a new applicant for employment
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
Location is New York City: $304,825 - $359,625 for Sr Distinguished
Machine Learning Engineer
Location is San Francisco, California: $322,937 - $380,993 for Sr
Distinguished Machine Learning Engineer
Remote roles in other areas of New York & California, and across
Colorado & Washington: $258,323 - $304,763 for Sr Distinguished
Machine Learning Engineer
Candidates 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.
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 ;
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
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- or via email at . 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
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, Tinley Park , Sr. Distinguished Machine Learning Engineer - Card Tech (Remote Eligible), Engineering , Tinley Park, Illinois
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