AI/ML Research and Development Intern

Application Instructions 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. CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please 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, please 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, please click "Apply" and complete the application process for external applicants. Job Description and Position Requirements We are seeking undergraduate students with interest in artificial intelligence/machine learning (AI/ML) to join the Visualization and Decision Support Division of the Applied Research Laboratory (ARL) at Penn State. Interns will have the opportunity to work developing cutting‑edge AI/ML techniques to solve problems in computer vision and geospatial understanding. Students selected will serve as contributing members of the research staff at ARL. As part of this position, the candidate may: Research and prototype unique algorithmic solutions in Python for a wide array of problems, with a focus on machine learning and artificial intelligence Support machine learning model development using tools and technologies such as PyTorch, PostgreSQL, Amazon Web Services, Docker, and similar technologies Collaborate with cross‑functional teams to integrate machine learning models into existing systems and develop new ones to meet specific project needs Work within an agile development environment with other developers, a scrum master, and product owners to scope, develop, and deliver quality software solutions Students studying Computer Science, Information Science and Technology, Electrical Engineering, or related fields are encouraged to apply. Preferred Qualifications Experience in AI/ML Active security clearance Successful candidates will work up to 20 hours/week during the fall and spring semesters and 40 hours/week over the summer. This is a paid internship located at either State College, PA or Reston, VA. Relocation and housing are not provided. 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 Background Checks and 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. Campus Security and 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 View phone number on click.appcast.io. #J-18808-Ljbffr