Machine Learning Engineer
Company: Capital One
Location: Harrisonburg
Posted on: August 5, 2022
Job Description:
West Creek 6 (12076), United States of America, Richmond,
VirginiaMachine Learning EngineerWhat 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 3 years of experience designing and building
data-intensive solutions using distributed computing (Internship
experience does not apply)
- At least 4 years of experience programming with Python, Scala,
or Java
- 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 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 -
- Authored/co-authored a paper on a ML technique, model, or proof
of concept
- 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.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, Harrisonburg , Machine Learning Engineer, Engineering , Harrisonburg, Virginia
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