AI & Data Fusion Intern — Advanced ML for Defense

Johns Hopkins University Applied Physics Laboratory LLC; Laurel (MD); On-site; USD 31,000 - 66,000; Full time

Job summary

Johns Hopkins University Applied Physics Laboratory LLC invites motivated students pursuing a Bachelor's, Master's, or PhD in CS, Math, Engineering, Physics, or related fields to join our Information Fusion and Artificial Intelligence Group as an intern in Laurel, MD.

You will work with engineers and scientists at the forefront of defense-related AI, data fusion, and distributed algorithms for Navy, Missile Defense, and Air Force systems.

Qualifications

• Pursuing a Bachelor's or Master's degree (or PhD) in CS, Math, Engineering, Physics or similar.
• Fluent in Python or C/C++, with ability to translate math concepts into well-documented and efficient code.
• Desire to apply software engineering techniques to complex problems.
• Good written and verbal communication skills.
• Eligible for Interim Secret clearance by start date and ultimately Secret clearance (U.S. citizenship required).

Responsibilities

• Research, implement, prototype, and analyze algorithms; document performance of approaches.
• Interact with large datasets for training, testing, cleaning, or preprocessing.
• Create, develop, and debug code for multi-user software test beds.
• Create visualizations and documentation to explain complex topics to diverse audiences.

Skills

Python

C/C++

Data analysis

Education

Bachelor's/Master's/PhD in CS/Math/Engineering/Physics

Tools

Git

Job description

Johns Hopkins University Applied Physics Laboratory LLC invites motivated students pursuing a Bachelor's, Master's, or PhD in CS, Math, Engineering, Physics, or related fields to join our Information Fusion and Artificial Intelligence Group as an intern in Laurel, MD.

You will work with engineers and scientists at the forefront of defense-related AI, data fusion, and distributed algorithms for Navy, Missile Defense, and Air Force systems.