Senior Machine Learning Engineer (Remote-Eligible)
Company: Capital One
Location: Clifton
Posted on: January 22, 2023
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Job Description:
Center 2 (19050), United States of America, McLean,
VirginiaSenior Machine Learning Engineer (Remote-Eligible)As a
Capital One Machine Learning Engineer (MLE), you'll be part of an
Agile team 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 focus on machine learning
architectural design, develop and review model and application
code, and ensure 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.
Team Info:
The Machine Learning Experience (MLX) team provides the notebook
platforms used by Capital One data science and analytics teams for
data exploration and model development. We leverage Kubernetes and
Open Source Software (e.g. Jupyter, Kubeflow) to scale out our
analysis offering to thousands of users and use cases within the
enterprise. We provide the notebook interfaces and tools built with
Dask, Spark, and GPUs in order to accelerate data exploration and
model development.
What you'll do in the role:
The MLE role overlaps with many disciplines, such as Ops, Modeling,
and Data Engineering. In this role, you'll be expected to perform
many ML engineering activities, including one or more of the
following:
Design, build, and deliver ML platform components that solve
real-world business problems, while working in collaboration with
the Product and Data Science teams.
Maintain data processing libraries and ML environments for
informing ML best practices and performance
Leverage or build cloud-based architectures, technologies, and/or
platforms to deliver solutions for all aspects of the ML pipeline
(analysis, training, serving).
Solve complex problems by writing and testing application code,
developing and validating ML model solutions, and automating tests
and deployment.
Collaborate as part of a cross-functional Agile team to create and
enhance software that enables state-of-the-art big data and ML
applications.
Leverage continuous integration and continuous deployment best
practices, including test automation and monitoring, to ensure
successful deployment of ML models and application code.
Ensure all code is well-managed to reduce vulnerabilities, models
are well-governed from a risk perspective, and the ML follows best
practices in Responsible and Explainable AI.
Use programming languages like Go, Python, or Scala.
Capital One is open to hiring a Remote Employee for this
opportunity.
Basic Qualifications:
Bachelor's degree.
At least 4 years of experience programming with Python, Scala, or
Java (Internship experience does not apply)
At least 3 years of experience designing and building
data-intensive solutions using distributed computing
At least 2 years of on-the-job experience with an industry
recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or
TensorFlow)
At least 1 year of experience productionizing, monitoring, and
maintaining models
Preferred Qualifications:
3+ years of experience with distributed file systems or multi-node
database paradigms
3+ years of experience with container orchestration technologies
such as Docker, Kubernetes, ECS
3+ years of experience developing performant, resilient, and
maintainable code
1+ years of experience building, scaling, and optimizing ML
systems
1+ years of experience with MLOps / workflow technologies such as
Kubeflow, Airflow, Prefect
1+ years of experience developing and deploying ML solutions in a
public cloud such as AWS, Azure, or Google Cloud Platform
Master's or doctoral degree in computer science, electrical
engineering, mathematics, or a similar field
Contributed to open source software
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- $156,596 and $184,748 for Senior Machine
Learning EngineerLocation is Colorado- $132,699 and $156,555 for
Senior 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
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, Arlington , Senior Machine Learning Engineer (Remote-Eligible), Engineering , Clifton, Virginia
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