mid machine learning Research Scientist ic 2+ yrs Phd's · Posted Mar 2, 2026

About this role

Johns Hopkins APL is hiring a mid-level Research Scientist in the machine learning function based in Laurel, MD. The posting calls out experience with Python, TypeScript, Data Analytics and roughly 2+ years of relevant work. Listed education preference: a Ph.D. or equivalent.

Role
Research Scientist
Function
machine learning
Level
mid
Track
Individual contributor
Location
Laurel, MD
Experience
2+ years
Education
Ph.D. preferred
Visa
Not sponsored
Department
Physics
Posted
Mar 2, 2026
AI Summary
Lead independent experimental quantum research projects focused on qubit design, control, and characterization. Collaborate with physicists to advance quantum information science and implement error protection strategies. Requires PhD in Physics or related field with 2+ years post-doctoral experimental quantum systems experience and proven research publications.

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Job description

from Johns Hopkins APL careers
Description

Are you an experimentalist with expertise in solid state quantum devices like superconducting or semiconducting spin qubits?

Are you looking to take part in impact research in quantum information science?

Do you want to work with a vibrant team of experimental and theoretical physicists?

 

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

 

We are seeking a creative quantum scientist to help us grow new projects and mature existing ones. As a member of our team, you 'll contribute to research that tackles the problems of designing, controlling, and scaling qubit systems. You will join our hardworking team of quantum scientists who are passionate about building new and exciting solutions to expand the state-of-the-art in quantum science. We strive to foster an environment of collaboration and teamwork. Our team is committed to integrity and honesty, and values substance and innovation.

 

As an Experimental Quantum Scientist at APL you will...

  • Propose and lead independent research projects focus on novel quantum devices, controls, or characterization techniques.
  • Work collaboratively with other APL staff to identify emerging challenges with quantum solutions.
  • Support ongoing programs in quantum information science by making immediate contributions to efforts that are looking to implement quantum characterization, control, and error protection strategies in qubit systems.
  • This is an excerpt. Read the full job description on Johns Hopkins APL careers →
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