Senior Machine Learning Engineer (Remote-Eligible)
Company: Capital One
Location: Orland Park
Posted on: January 19, 2023
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
Engineer Candidates 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 ;
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- 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, Orland Park , Senior Machine Learning Engineer (Remote-Eligible), Engineering , Orland Park, Illinois
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