AI Intern - Senior

V2X•Indianapolis, IN
•Hybrid

About The Position

V2X has AI Engineering Intern opportunities for current college students pursuing STEM degrees focused on artificial intelligence, machine learning, or software development in Indianapolis, Indiana. Interns work with experienced engineers and gain hands-on exposure to AI engineering by helping design, develop, train, and test AI and machine-learning models. Assignments may involve integrating AI capabilities into software systems and working with target hardware in a laboratory environment. Interns apply technical standards, principles, theories, concepts, and techniques to help address customer needs through customized AI-enabled engineering services and products for customer missions. The role follows a hybrid work schedule, with employees expected to be in the office at least Tuesday through Thursday.

Requirements

  • Positive attitude and demonstrated leadership skills.
  • Customer focus and ability to collaborate.
  • Excellent written and verbal communication skills.
  • Coursework in software engineering, computer engineering, AI, machine learning, or a related field.
  • Basic coding skills in one or more of the following: Python, Java, C/C++, or Bash.
  • Be enrolled in an accredited college or university pursuing a technical degree in computer engineering, electrical engineering, computer science, or a related STEM field.
  • Have sophomore, junior, senior, or postgraduate status as of Spring 2027; level is based on qualifications, including degree credits earned.
  • Ability to access systems containing information restricted to U.S. citizens under federal contract requirements.
  • Eligibility to obtain and maintain a U.S. Department of Defense Secret security clearance.

Nice To Haves

  • Cumulative GPA of 3.0 or higher is strongly desired.
  • Knowledge of MS Office or other presentation tools.
  • Previous engineering or AI/ML project experience or internships.
  • Ability to work effectively in a team environment.

Responsibilities

  • Learn about typical AI/ML documentation and assist in preparing it.
  • Learn commonly used AI and software engineering tools and best practices, including Git, ADO, Python libraries, ML frameworks, and VSCode.
  • Provide basic support for AI and software development across software environments and target hardware, including Linux, Android, and Windows.
  • Expand AI/ML knowledge, including model development, data preparation, and evaluation techniques.
  • Participate as a member of a multidisciplinary engineering team.
  • Contribute to project and program milestones under general guidance from supervisors, team leads, and mentors.
  • Learn and follow established AI and software engineering processes and procedures.
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