Distinguished Machine Learning Engineer
Company: Capital One
Location: Richmond
Posted on: November 12, 2024
Job Description:
Center 1 (19052), United States of America, McLean,
VirginiaDistinguished Machine Learning EngineerAs 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.In this role, you will be supporting the
Bank Tech organization. You will lead development and
implementation that will enable business initiatives, working with
other leaders and teams across the enterprise to enable these
solutions. -.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. -At this time,
Capital One will 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.New York City (Hybrid
On-Site): $274,800 - $313,600 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.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 -. 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 . 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, Charlottesville , Distinguished Machine Learning Engineer, Engineering , Richmond, Virginia
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