junior Machine Learning Engineer ic 1+ yrs Bachelor's · Posted Sep 26, 2025

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, Data Structures, Machine Learning and roughly 1+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.

Role
Machine Learning Engineer
Function
machine learning
Level
junior
Track
Individual contributor
Location
Laurel, MD
Experience
1+ years
Education
Bachelor's degree
Department
Physics
Posted
Sep 26, 2025
AI Summary
Develop computational physics models and simulations to design electromagnetic devices including RF/optical metasurfaces and integrated photonics. Work with experimentalists to validate models and build prototypes. Requires Bachelor's degree in Physics/Engineering, proficiency in MATLAB or Python, foundational electromagnetics knowledge, and physics-based simulation experience.

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Job description

from Johns Hopkins APL careers
Description

Do you enjoy building and running physics-based simulations, developing optimization algorithms, or creating custom models?

 

Are you excited by the challenge of designing cutting-edge electromagnetic and photonic devices—driving the future of communications, sensing, and computing?

 

Do you thrive in a collaborative and interdisciplinary environment where ideas move from concept to fabrication, characterization, and real-world prototyping?

 

If so, we’re looking for someone like you to join our team at APL!

 

We are a team of computational and experimental physicists and engineers passionate about developing innovative solutions for the future of advanced devices, materials, and systems. We are seeking a computational physics researcher to contribute to ongoing projects and help grow new areas of research. Your primary responsibility will be to develop and apply computational models and simulations to design novel electromagnetic devices—including RF/optical metasurfaces, integrated photonics, and quantum computing hardware.

We value scientific excellence, continuous learning, and open collaboration in order to tackle high-risk, high-reward ideas. Your work will help drive research from simulation and fabrication to characterization and real-world deployment. Opportunities for professional growth and mentorship are strongly supported.

As a Computational Physics Researcher, you will:

  • Develop custom numerical models, create optimization algorithms, and/or use commercial tools to predict complex phenomena and design advanced devices.
  • This is an excerpt. Read the full job description on Johns Hopkins APL careers →
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