Artificial Intelligence / Machine Learning Research and Development Engineer
The Applied Research Laboratory at Penn State University
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Annapolis Junction, MD
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Not Applicable
Posted March 28, 2026
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Responsibilities
Commitments
Responsibilities
- Design, develop, and research machine learning systems, models, and schemes
- Study, transform, and apply state-of-the-art machine learning prototypes to sponsor specific domains collection and data modeling
- Visualize data for deeper insights
- Generate and present technical research reports and briefings
- Performing statistical analysis in support of pattern of life and anomaly detection
- Build high quality software prototypes integrated with our various research and pre-production software environments
- The selected candidates will assume a technical role and will interact with other ARL staff and sponsors, spending a majority of the time working in a classified environment in Annapolis Junction, MD, State College, PA or Reston, VA.
- Supervise the work of lower level staff and undergraduate student
- Perform tasks of a larger scope and lead specific tasks within the project scope
Commitments
The selected candidates will assume a technical role and will interact with other ARL staff and sponsors, spending a majority of the time working in a classified environment in Annapolis Junction, MD, State College, PA or Reston, VA.
Periodic travel to sponsor sites may be required.
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
Active TS/SCI Clearance
ARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas.
You will be subject to a government security investigation, and you must be a U.S. citizen to apply.
Employment with the ARL will require successful completion of a pre-employment drug screen.
CAMPUS SECURITY CRIME STATISTICS:
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR).
The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters.
The ASR is available for review here.
Employment with the University will require successful completion of background check(s) in accordance with University policies.
EEO IS THE LAW
If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State Policies
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University Park, PA
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Requirements
- Supervise the work of lower level staff and undergraduate student
- Perform tasks of a larger scope and lead specific tasks within the project scope
- Experience in the following is required:
- Data science/algorithm development
- Data science / Machine Learning languages, to include Python
- Research, development, and implementation of machine learning models
- Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based
- Statistics, linear algebra, and data structures
- Exploratory data analysis and visualization
- Data science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, SQL, FastAPI
- Software Development tools to include Git, Docker, Kubernetes, SSH
- Active TS/SCI Clearance
- You will be subject to a government security investigation, and you must be a U.S. citizen to apply.
- Employment with the ARL will require successful completion of a pre-employment drug screen.
Preferred Skills
- A Master's degree is preferred.
- Data science / Machine Learning languages, to include Python
- Experience in the following is preferred:
- Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based
- Statistics, linear algebra, and data structures
- Exploratory data analysis and visualization
- Data science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, SQL, FastAPI
- Software Development tools to include Git, Docker, Kubernetes, SSH
- Active TS/SCI Clearance
Education
- (Not required) – Minimally requires a Bachelor's degree in an Engineering or Science discipline.
- (Required) – Additional experience and/or education are required for higher level jobs.
- (Not required) – A Master's degree is preferred.
The Cyber Innovation, Analytics, and Operations Department within the Information Advantage Office (IAO) at the Applied Research Laboratory (ARL) at Penn State is looking for talented, experienced, and highly motivated Data Scientists to assist in providing its customers with state-of-the-art solutions. In this position you will research, develop, and deliver algorithmic, machine learning, and artificial intelligence based approaches to solve complex sponsor problems.
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
You will:
Design, develop, and research machine learning systems, models, and schemes
Study, transform, and apply state-of-the-art machine learning prototypes to sponsor specific domains collection and data modeling
Visualize data for deeper insights
Generate and present technical research reports and briefings
Performing statistical analysis in support of pattern of life and anomaly detection
Build high quality software prototypes integrated with our various research and pre-production software environments
The selected candidates will assume a technical role and will interact with other ARL staff and sponsors, spending a majority of the time working in a classified environment in Annapolis Junction, MD, State College, PA or Reston, VA. Periodic travel to sponsor sites may be required.
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
This position can be filled at multiple levels, depending upon your education and experience. Minimally requires a Bachelor's degree in an Engineering or Science discipline. Additional experience and/or education are required for higher level jobs. A Master's degree is preferred.
Additional responsibilities of higher level positions include:
Supervise the work of lower level staff and undergraduate student
Perform tasks of a larger scope and lead specific tasks within the project scope
Experience in the following is required:
Data science/algorithm development
Data science / Machine Learning languages, to include Python
Research, development, and implementation of machine learning models
Experience in the following is preferred:
Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based
Statistics, linear algebra, and data structures
Exploratory data analysis and visualization
Data science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, SQL, FastAPI
Software Development tools to include Git, Docker, Kubernetes, SSH
Active TS/SCI Clearance
ARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas.
You will be subject to a government security investigation, and you must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.
The proposed salary range may be impacted by geographic differential.**
The salary range for this position, including all possible grades is:
$76,700.00 - $129,500.00
Salary Structure - additional information on Penn State's job and salary structure.
CAMPUS SECURITY CRIME STATISTICS:
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
Employment with the University will require successful completion of background check(s) in accordance with University policies.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Federal Contractors Labor Law Poster
PA State Labor Law Poster
Penn State Policies
Copyright Information
Hotlines
University Park, PA
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
You will:
Design, develop, and research machine learning systems, models, and schemes
Study, transform, and apply state-of-the-art machine learning prototypes to sponsor specific domains collection and data modeling
Visualize data for deeper insights
Generate and present technical research reports and briefings
Performing statistical analysis in support of pattern of life and anomaly detection
Build high quality software prototypes integrated with our various research and pre-production software environments
The selected candidates will assume a technical role and will interact with other ARL staff and sponsors, spending a majority of the time working in a classified environment in Annapolis Junction, MD, State College, PA or Reston, VA. Periodic travel to sponsor sites may be required.
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
This position can be filled at multiple levels, depending upon your education and experience. Minimally requires a Bachelor's degree in an Engineering or Science discipline. Additional experience and/or education are required for higher level jobs. A Master's degree is preferred.
Additional responsibilities of higher level positions include:
Supervise the work of lower level staff and undergraduate student
Perform tasks of a larger scope and lead specific tasks within the project scope
Experience in the following is required:
Data science/algorithm development
Data science / Machine Learning languages, to include Python
Research, development, and implementation of machine learning models
Experience in the following is preferred:
Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based
Statistics, linear algebra, and data structures
Exploratory data analysis and visualization
Data science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, SQL, FastAPI
Software Development tools to include Git, Docker, Kubernetes, SSH
Active TS/SCI Clearance
ARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas.
You will be subject to a government security investigation, and you must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.
The proposed salary range may be impacted by geographic differential.**
The salary range for this position, including all possible grades is:
$76,700.00 - $129,500.00
Salary Structure - additional information on Penn State's job and salary structure.
CAMPUS SECURITY CRIME STATISTICS:
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
Employment with the University will require successful completion of background check(s) in accordance with University policies.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Federal Contractors Labor Law Poster
PA State Labor Law Poster
Penn State Policies
Copyright Information
Hotlines
University Park, PA