Senior Machine Learning Engineer (Python, PySpark, SQL) - Capital One
Company: Capital One
Location: Freedom
Posted on: April 24, 2024
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Job Description:
Center 1 (19052), United States of America, McLean,
VirginiaSenior Machine Learning Engineer (Python, PySpark, SQL)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. 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/or deliver ML models and components that solve
real-world business problems, while working in collaboration with
the Product and Data Science teams. Inform your ML infrastructure
decisions using your understanding of ML modeling techniques and
issues, including choice of model, data, and feature selection,
model training, hyperparameter tuning, dimensionality,
bias/variance, and validation). Solve complex problems by writing
and testing application code, developing and validating ML models,
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. Retrain,
maintain, and monitor models in production. Leverage or build
cloud-based architectures, technologies, and/or platforms to
deliver optimized ML models at scale. Construct optimized data
pipelines to feed ML models. 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 Python, Scala, or Java. 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: 1+ years of experience
building, scaling, and optimizing ML systems 1+ years of experience
with data gathering and preparation for ML models 2+ years of
experience with building models 2+ years of experience developing
performant, resilient, and maintainable code 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 3+
years of experience with distributed file systems or multi-node
database paradigms Contributed to open source ML software 3+ years
of experience building production-ready data pipelines that feed ML
models Experience designing, implementing, and scaling complex data
pipelines for ML models and evaluating their performance 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. New York City (Hybrid
On-Site): $165,100 - $188,500 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. 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. 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
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, Buffalo , Senior Machine Learning Engineer (Python, PySpark, SQL) - Capital One, IT / Software / Systems , Freedom, New York
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