The Applied Research Laboratory at Penn State University
Data Scientist / Machine Learning Engineer
The Applied Research Laboratory at Penn State University, Reston, Virginia, United States, 22090
Data Scientist / Machine Learning Engineer
Apply for the Data Scientist / Machine Learning Engineer role at The Applied Research Laboratory at Penn State University.
Application Instructions
Current Penn State employee (faculty, staff, technical service, or student): login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
Current Penn State student (not employed previously at the university) and seeking employment with Penn State: login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
If you are NOT a current employee or student: click “Apply” and complete the application process for external applicants.
Remote Work Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
Position Specifics We are seeking highly motivated Data Science/Machine Learning Research and Development Engineers to join our Computational Intelligence and Visualization Application Department of the Applied Research Laboratory (ARL) at Penn State. You will assist in providing customers with state-of-the-art visualization and decision support. The primary focus will be researching and developing feasible algorithmic solutions to our sponsor’s complex problems given large sets of multivariate data. Located in either State College, PA or Reston, VA.
You Will:
Design and implement machine learning systems, models, and schemes.
Research and apply state-of-the-art machine learning prototypes to sponsor-specific domains.
Search and select appropriate data sets before performing data collection and data modeling.
Visualize data for deeper insights.
Generate and present technical research reports and briefings.
Perform statistical analysis in support of pattern of life and anomaly detection.
Perform data fusion and correlation.
Build high quality software prototypes integrated with our various research and pre-production software environments.
Collaborate with other ARL staff and sponsors.
Additional Responsibilities for Higher Levels:
Supervise the work of lower level staff and undergraduate students.
Perform tasks of a larger scope and lead specific tasks within the project scope.
Required Skills / Knowledge
Data science / algorithm development.
Data science / Machine Learning languages including Python.
Research, development and implementation of machine learning models.
Preferred Skills / Knowledge
Active TS/SCI clearance strongly preferred.
A Master’s degree.
Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based.
Working with geo-spatial data.
Statistics, multivariable calculus, and linear algebra.
Exploratory data analysis and visualization.
Data science / Machine Learning tools including Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, PostGreSQL, FastAPI.
Software Development tools including Git, Docker, Kubernetes, SSH.
Work Location Your work location will be on-site in State College, PA or Reston, VA in a classified environment.
Minimum Education, Work Experience & Required Certifications For Research and Development Engineer – Intermediate Professional: Bachelor’s Degree in Engineering or Science and 2+ years of relevant experience. No required certifications.
For Research and Development Engineer – Professional: Bachelor’s Degree in Engineering or Science. No prior relevant work experience required. No required certifications.
ARL Purpose Statement ARL’s purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC).
For further information on ARL, visit our website at www.arl.psu.edu.
Background Checks / Clearances Employment with the University will require successful completion of background check(s) in accordance with University policies. All positions at ARL require candidates to possess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.
Salary & Benefits The salary range for this position, including all possible grades, is $76,700.00 - $129,500.00. The proposed salary range may be impacted by geographic differential.
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. Includes comprehensive medical, dental, and vision coverage, robust retirement plans, substantial paid time off (holidays, vacation, and sick time), and generous 75% tuition discount for employees and eligible spouses and children. For more detailed information, please visit our Benefits Page.
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.
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.
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Application Instructions
Current Penn State employee (faculty, staff, technical service, or student): login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
Current Penn State student (not employed previously at the university) and seeking employment with Penn State: login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
If you are NOT a current employee or student: click “Apply” and complete the application process for external applicants.
Remote Work Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
Position Specifics We are seeking highly motivated Data Science/Machine Learning Research and Development Engineers to join our Computational Intelligence and Visualization Application Department of the Applied Research Laboratory (ARL) at Penn State. You will assist in providing customers with state-of-the-art visualization and decision support. The primary focus will be researching and developing feasible algorithmic solutions to our sponsor’s complex problems given large sets of multivariate data. Located in either State College, PA or Reston, VA.
You Will:
Design and implement machine learning systems, models, and schemes.
Research and apply state-of-the-art machine learning prototypes to sponsor-specific domains.
Search and select appropriate data sets before performing data collection and data modeling.
Visualize data for deeper insights.
Generate and present technical research reports and briefings.
Perform statistical analysis in support of pattern of life and anomaly detection.
Perform data fusion and correlation.
Build high quality software prototypes integrated with our various research and pre-production software environments.
Collaborate with other ARL staff and sponsors.
Additional Responsibilities for Higher Levels:
Supervise the work of lower level staff and undergraduate students.
Perform tasks of a larger scope and lead specific tasks within the project scope.
Required Skills / Knowledge
Data science / algorithm development.
Data science / Machine Learning languages including Python.
Research, development and implementation of machine learning models.
Preferred Skills / Knowledge
Active TS/SCI clearance strongly preferred.
A Master’s degree.
Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based.
Working with geo-spatial data.
Statistics, multivariable calculus, and linear algebra.
Exploratory data analysis and visualization.
Data science / Machine Learning tools including Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, PostGreSQL, FastAPI.
Software Development tools including Git, Docker, Kubernetes, SSH.
Work Location Your work location will be on-site in State College, PA or Reston, VA in a classified environment.
Minimum Education, Work Experience & Required Certifications For Research and Development Engineer – Intermediate Professional: Bachelor’s Degree in Engineering or Science and 2+ years of relevant experience. No required certifications.
For Research and Development Engineer – Professional: Bachelor’s Degree in Engineering or Science. No prior relevant work experience required. No required certifications.
ARL Purpose Statement ARL’s purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC).
For further information on ARL, visit our website at www.arl.psu.edu.
Background Checks / Clearances Employment with the University will require successful completion of background check(s) in accordance with University policies. All positions at ARL require candidates to possess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.
Salary & Benefits The salary range for this position, including all possible grades, is $76,700.00 - $129,500.00. The proposed salary range may be impacted by geographic differential.
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. Includes comprehensive medical, dental, and vision coverage, robust retirement plans, substantial paid time off (holidays, vacation, and sick time), and generous 75% tuition discount for employees and eligible spouses and children. For more detailed information, please visit our Benefits Page.
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.
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.
#J-18808-Ljbffr