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Artificial Intelligence / Machine Learning Research and Development Engineer
Artificial Intelligence / Machine Learning Research and Development Engineer-March 2024
University Park
Mar 28, 2026
About Artificial Intelligence / Machine Learning Research and Development Engineer

  APPLICATION INSTRUCTIONS:

  CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the i (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/EfiwgKReZ4VAjprFZPKWUm0Bq_sU3KzTmERfpryq0esPKQ) nternal 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, please login to Workday to complete the student application process (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/Eeys15Xva4hFokHVtbP1eGIB5i1WFLc-J3k9KHgrFYZ7mg) . Please do not apply here, apply internally through Workday.

  If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants (https://hr.psu.edu/sites/hr/files/Application_Process_for_External_Applications_Non-Penn_State_Employees_.pdf) .

  JOB DESCRIPTION AND POSITION REQUIREMENTS:

  The Algorithms, Prototyping and Integration Department within the Communications, Information and Navigation Office (CINO) at the Applied Research Laboratory (ARL) is looking for two talented, experienced and a highly motivated Data Scientist’s to assist in providing its 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.

  You will:

  Designing, developing, and researching machine learning systems, models, and schemes

  Studying, transforming, and applying state-of-the-art machine learning prototypes to sponsor specific domains

  Searching and selecting appropriate data sets before performing data collection and data modeling

  Visualizing data for deeper insights

  Generating and presenting technical research reports and briefings

  Performing statistical analysis in support of pattern of life and anomaly detection

  Performing data fusion and correlation

  Building high quality software prototypes integrated with our various research and pre-production software environments

  The selected candidates will assume a technical leadership role and will interact with other ARL staff and sponsors, spending a majority of the time working in a classified environment in State College, PA or Reston, VA.

  ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

  This job will be filled as a level 3 or level 4, depending upon the successful candidate's competencies, education, and experience. Minimally requires a Bachelor's degree in an Engineering or Science discipline plus five years of related experience, or an equivalent combination of education and experience for a level 3. Additional experience and/or education are required for higher level jobs. A Master's degree in a related engineering discipline is highly desired.

  Additional responsibilities of a level 4 will include: ·

  Serve as a lead for multiple research projects

  Prepare and deliver presentations on complex research topics

  Experience in the following is required:

  Data science/algorithm development

  Data science / Machine Learning languages to include Python

  Research, development and implementation of novel machine learning models

  Ability to present complex technical topics to wide range of audiences

  Experience in the following is preferred:

  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 to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, PostGreSQL, FastAPI

  Software Development tools to include Git, Docker, Kubernetes, SSH

  Active TS/SCI Clearance

  Candidates selected will be subject to a government security investigation. You must be a U.S. Citizen to apply. Employment with the Applied Research Laboratory will require successful completion of a pre-employment drug screen.

  The Pennsylvania State University is committed to and accountable for advancing diversity, equity, and inclusion in all of its forms. We embrace individual uniqueness, foster a culture of inclusive excellence that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity, and engage all individuals to help them thrive. We value inclusive excellence as a core strength and an essential element of our public service mission.

  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 (https://police.psu.edu/annual-security-reports) .

  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, affirmative action 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 (https://affirmativeaction.psu.edu/files/2022/01/Federal-Contractors-Labor-Law-Poster.pdf)

  PA State Labor Law Poster

  Affirmative Action (https://policy.psu.edu/policies/hr11)

  Penn State Policies

  Copyright Information (https://www.psu.edu/copyright-information)

  Hotlines

  University Park, PA

  Reston, VA, VA

  University Park, PA

  ,

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