2026 Graduate – Engineer/Physicist/Computer Scientist - Weapon Control

Johns Hopkins APL · Laurel, MD · Electrical Engineering

junior Machine Learning Engineer ic Bachelor's · Posted Jan 14, 2026

About this role

Johns Hopkins APL is hiring a junior-level Machine Learning Engineer based in Laurel, MD. The posting calls out experience with Python, C, MLOps, Data Structures. Listed education preference: a bachelor's degree or equivalent.

Role
Machine Learning Engineer
Function
machine learning
Level
junior
Track
Individual contributor
Location
Laurel, MD
Education
Bachelor's degree
Department
Electrical Engineering
Posted
Jan 14, 2026
AI Summary
Develop AI/ML algorithms and modeling/simulation for U.S. missile defense and weapon control systems. Conduct research on defensive concepts, implement distributed algorithms, object tracking, and data fusion. Requires Bachelor's or Master's in Electrical Engineering, Computer Science, Physics, or Mathematics with programming skills in MATLAB, C++, Python, and ability to obtain Secret clearance.
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Job description

from Johns Hopkins APL careers
Description

Are you looking for exciting opportunities to help determine how to best defend the United States, our armed forces, and our allies from all forms of air and missile threats? Are you passionate about using innovation and advanced technologies to solve technical challenges?

 

If you are graduating with a Bachelor's or Master's degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar degrees and want to work in an exciting and collaborative environment to solve challenging technical national security problems, we'd like you to join our team.

 

We are seeking innovative and highly talented technical graduates to join our Weapon Control Concepts Development Group which specializes in advanced research and program of record activities for rapid prototype developments.

 

In particular, you will conduct modeling and simulation analysis, identify defensive systems gaps, and develop new system concepts to revolutionize defensive capabilities for the U.S.A.  You will apply math, engineering, computer science, and physics knowledge to implement new distributed algorithms, advanced Artificial Intelligence/Machine Learning (AI/ML) techniques, object tracking and discrimination, data fusion concepts, etc. in support of a wide variety of U.S. Navy, Missile Defense, and Air Force systems.

 

As a member of our team...

  • You will conduct research and development activities related to U.S. Missile Defense systems.
    • This is an excerpt. Read the full job description on Johns Hopkins APL careers →
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