2026 PhD Graduate – Artificial Intelligence and Machine Learning (AI/ML) Research Scientist

Johns Hopkins APL · Laurel, MD · Artificial Intelligence

mid machine learning AI Research Scientist ic Phd's · Posted Sep 20, 2025

About this role

Johns Hopkins APL is hiring a mid-level AI Research Scientist in the machine learning function based in Laurel, MD. The posting calls out experience with Python, PyTorch, Hugging Face, Computer Vision. Listed education preference: a Ph.D. or equivalent.

Role
AI Research Scientist
Function
machine learning
Level
mid
Track
Individual contributor
Location
Laurel, MD
Education
Ph.D. preferred
Visa
Not sponsored
Department
Artificial Intelligence
Posted
Sep 20, 2025
AI Summary
Conduct foundational AI research including alignment, multimodal foundation models, robotic autonomy, and adversarial robustness. Requires PhD in AI research, strong publication record, Python/PyTorch proficiency, and ability to obtain Top Secret clearance. Opportunity to propose ideas for internal and external funding.
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Job description

from Johns Hopkins APL careers
Description

Are you an early-career researcher hoping to invent the future of artificial intelligence (AI)?


Do you have a burning desire for your research to serve a bigger purpose?


Are you concerned about pressing challenges facing our nation’s security and prosperity?

 

If these questions describe you, you may be the kind of person the Artificial Intelligence Group at JHU/APL is looking for. We are a team within the Research and Exploratory Development Department (REDD) that strives to close the gap between frontier models and our sponsors’ expectations for an AI-dominated future. Our research programs are targeting foundational advances with cross-mission impact, such as:

  • Improving alignment of AI agents used in human-machine teaming and wargaming
  • Training multimodal foundation models on language and sensor data
  • Intelligent robots that use agentic AI to perform complex tasks in a self-directed way
  • Assessing, mitigating, and exploiting vulnerabilities of frontier models
  • Mission-driven test and evaluation (T&E) of novel research
This is an excerpt. Read the full job description on Johns Hopkins APL careers →
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