Tactical AI/ML Systems Internship – Drive Defense Tech

Johns Hopkins Applied Physics Laboratory; Laurel (MD); On-site; USD 47,000 - 100,000; Full time

Job summary

Johns Hopkins Applied Physics Laboratory (APL) seeks enthusiastic students majoring in CS, ML, AI, physics, software engineering, or math to join our team and tackle national challenges. You will work with a dedicated group delivering solutions in AI, ML ops, and data science to support defense and healthcare sponsors.

You will collaborate across disciplines, applying skills in programming, data analysis, and systems engineering on projects like machine perception and intelligent systems, while

Qualifications

• Pursuing a Bachelor's, Master's, or PhD in Computer Science, Machine Learning, AI, Physics, Software Engineering, Computer Engineering, Mathematics, or related field.
• Maintain a minimum 3.0/4.0 GPA.
• Knowledge of Python/C/C++, data analysis/visualization, database management, and AI/ML techniques.
• Eligible to obtain Interim Secret level clearance by start date with potential to Secret clearance; U.S. citizenship required.

Responsibilities

• Collaborate with a team to develop solutions supporting national priorities.
• Contribute across areas such as Machine Perception, Intelligent Systems, Autonomy, Software Engineering, ML Operations, AI Assurance, and Data Science.

Skills

Programming languages (Python, C/C++)

Data analysis

Database management

AI / ML techniques

Team collaboration

Education

Pursuing Bachelor's/Master's/PhD in CS/ML/AI/Physics/Software Engineering/Math

Tools

Git workflow

Jira

Docker

Unix/Linux CLI

Job description

Johns Hopkins Applied Physics Laboratory (APL) seeks enthusiastic students majoring in CS, ML, AI, physics, software engineering, or math to join our team and tackle national challenges. You will work with a dedicated group delivering solutions in AI, ML ops, and data science to support defense and healthcare sponsors.

You will collaborate across disciplines, applying skills in programming, data analysis, and systems engineering on projects like machine perception and intelligent systems, while