AI/ML Research and Development Intern

Job Description and Position Requirements

We are seeking graduate students with artificial intelligence/machine learning (AI/ML) experience to join the Visualization and Decision Support Division of the Applied Research Laboratory (ARL) at Penn State.

Interns will have the opportunity to work on cutting-edge AI technologies, participate in a Kaggle-style competition, and develop solutions to problems in computer vision and geospatial understanding. Students selected will serve as active, hands-on, contributing members of the research staff at ARL.

• Work within an agile development environment with other developers, scrum master, and product owners to scope, develop, and deliver quality software solutions.
• Contribute to the research and development of unique algorithmic solutions for a wide array of sponsor requirements, with a focus on machine learning and artificial intelligence.
• Contribute to the development, testing, and transition of front and back-end software applications to various IT environments.
• Support machine learning model development using tools and technologies such as: PyTorch, Pandas, PostgreSQL, AWS, 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.

Students studying Computer Science, Electrical Engineering or Mathematics are encouraged to apply. Must have a bachelor's degree and be enrolled in a masters or higher level degree program. Experience in machine learning is preferred.

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.

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.

Application Instructions

Current Penn State employees (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Current Penn State students (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.

Note: Background checks/clearances, drug screens, and compliance with federal contractors labor law posters are required for employment with the ARL.