AI/ML Research and Development Intern

Penn State UniversityBenner Township, PA
3d

About The Position

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

Requirements

  • Students studying Computer Science, Information Science and Technology, Electrical Engineering, or related fields are encouraged to apply.
  • You must be a U.S. citizen to apply.
  • Employment with the ARL will require successful completion of a pre-employment drug screen.
  • 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.

Nice To Haves

  • Experience in AI/ML
  • Active security clearance

Responsibilities

  • 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
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