2026 PhD Graduate - Robotics Group

Johns Hopkins APL · Laurel, MD · Robotics

junior Machine Learning Engineer ic Phd's · Posted Sep 5, 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, TensorFlow, PyTorch, Data Structures. Listed education preference: a Ph.D. or equivalent.

Role
Machine Learning Engineer
Function
machine learning
Level
junior
Track
Individual contributor
Location
Laurel, MD
Education
Ph.D. preferred
Visa
Not sponsored
Department
Robotics
Posted
Sep 5, 2025
AI Summary
Develop novel robotic systems, control algorithms, and AI solutions for defense, healthcare, and space applications. Requires Ph.D. in Computer Science, Engineering, Mathematics, or related field with robotics or AI experience. Must obtain DoD Secret-level security clearance and be U.S. citizen.
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Job description

from Johns Hopkins APL careers
Description

Are you passionate about pursuing groundbreaking research to solve today’s greatest challenges in robotics?

Do you enjoy working on meaningful interdisciplinary problems?

Do you thrive in a collaborative and creative environment?

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

If you are graduating with a Ph.D. degree in Computer Science, Engineering, or Mathematics, we'd love to have you join our team!  The Robotics Group in the Research and Exploratory Development Department is an interdisciplinary team of researchers that is inventing the future across the broad spectrum of robotics, with applications that strengthen national defense, improve healthcare, advance space exploration, and address critical challenges facing the nation. You can learn more about our current research at www.jhuapl.edu/isc.

We are seeking a highly skilled, highly motivated scientists and engineers to join us in taking intelligent robotic systems from concept to reality. We are a multidisciplinary team focused on groundbreaking impacts in the areas of robotics control, machine perception, AI, multi-agent teaming, assured autonomy, and novel robot design. Our team is committed to excellence in research that has real-world impact. Successful members of our team tend to be creative problem solvers who are comfortable working at the edge of their technical comfort zone. 

This is an excerpt. Read the full job description on Johns Hopkins APL careers →
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