Senior Machine Learning Engineer - Capital One
Company: Capital One
Location: Davidsonville
Posted on: April 24, 2024
|
|
Job Description:
Center 1 (19052), United States of America, McLean,
VirginiaSenior Machine Learning EngineerAs 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 with Spark and Kubeflow or other pipeline
orchestration technologies 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. 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, Montgomery Village , Senior Machine Learning Engineer - Capital One, Engineering , Davidsonville, Maryland
Click
here to apply!
|