Distinguished Machine Learning Engineer- Applied Research (Remote- Eligible)
Company: Capital One
Location: Rockland
Posted on: January 27, 2023
Job Description:
Locations: VA - McLean, United States of America, McLean,
VirginiaDistinguished Machine Learning Engineer- Applied Research
(Remote- Eligible)Distinguished Machine Learning Engineer- Applied
Research (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 Applied Researcher, you'll be providing technical
leadership to research engineering teams dedicated to building the
next generation of machine learning capabilities for the company.
You'll participate in the entire end-to-end process of technology
innovation from experimentation & partnership with university
researchers through to deployment of services on production
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.
- Build enterprise grade software that makes it easy for teams to
utilize the latest ML technologies
- Drive the creation and evolution of ML models and software that
enable state-of-the-art intelligent systems.
- Work with Data Scientists to test ideas and capabilities on
real-world problems
- Work closely with faculty members at several leading
universities to conduct foundational ML research
- 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
modeling lifecycles. Capital One is open to hiring a Remote
Employee for this opportunity 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 experience in an R&D setting with a focus on
building novel ML capabilities
- 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. 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 - $307,440 for Distinguished Machine Learning
EngineerLocation is San Francisco, California: $276,034 - $325,658
for Distinguished Machine Learning EngineerRemote roles in other
areas of New York & California, and across Colorado & Washington:
$220,854 - $260,558 for 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 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- 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, Boston , Distinguished Machine Learning Engineer- Applied Research (Remote- Eligible), Engineering , Rockland, Massachusetts
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