Missile Defense Systems Engineer Intern (AI/ML)

Johns Hopkins Applied Physics Lab; Laurel (MD); Presencial; USD 31.000 - 66.000; Jornada completa

Descripción de la vacante

Johns Hopkins Applied Physics Laboratory (APL) invites undergraduates and graduate students to join its Cross‑Domain Battle Management Group for summer internships in the Baltimore–Washington metro area. You will work on bridging missile defense and space domains, tackling complex systems engineering to strengthen national security.

You’ll engage in R&D, data analysis, algorithm evaluation, and AI/ML development using MATLAB, Python, Java, C, or C++. Applicants must be U.S.

Formación

• Pursuing a Bachelor’s/Master’s/Doctoral degree in STEM with a 3.0 GPA or higher.
• Working knowledge of MATLAB, Python, Java, C, or C++.
• Willingness to obtain Interim Secret clearance by start date and eventual Secret clearance.
• Strong written and verbal communication skills.
• U.S. citizenship eligible for security clearance.

Responsabilidades

• Assist staff in R&D activities to identify and fill gaps in the U.S. Missile Defense systems.
• Analyze data from sensor and missile test events.
• Evaluate and assess algorithms developed by group staff.
• Develop and test advanced AI/ML approaches for solving complex problems.
• Use programming languages to develop and test technical solutions.
• Collaborate in a team-oriented, cross-disciplinary environment.

Conocimientos

MATLAB

Python

Java

C

C++

Educación

Bachelor’s/Master’s/Doctoral degree in STEM

Descripción del empleo

Johns Hopkins Applied Physics Laboratory (APL) invites undergraduates and graduate students to join its Cross‑Domain Battle Management Group for summer internships in the Baltimore–Washington metro area. You will work on bridging missile defense and space domains, tackling complex systems engineering to strengthen national security.

You’ll engage in R&D, data analysis, algorithm evaluation, and AI/ML development using MATLAB, Python, Java, C, or C++. Applicants must be U.S.