Distinguished Machine Learning Engineer- Remote Eligible
Company: Capital One
Posted on: November 26, 2022
Locations: VA - Richmond, United States of America, Richmond,
VirginiaDistinguished Machine Learning Engineer- Remote
EligibleDistinguished 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
- Help recruit, nurture, and retain top engineering talent.Basic
- 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,
- At least 3 years of experience with the full ML development
lifecycle using modern technology in a business critical
- At least 2 years of experience using Dask, RAPIDS, or in High
- 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
- Experience partnering with technology peers responsible for
data architecture and distributed computing
- 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. -At this time,
Capital One will not sponsor a new applicant for employment
authorization for this position.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 worked.Location is New York
City- $260,592 and $307,440 for Distinguished Machine Learning
EngineerLocation is Colorado- $220,854 and $260,558 for
Distinguished Machine Learning EngineerCandidates 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.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 .
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, Dallas , Distinguished Machine Learning Engineer- Remote Eligible, Engineering , Princeton, Texas
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