The Artificial Intelligence Group at JHU/APL is looking to support foundational research motivated by pressing national security challenges, 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, and assessing, mitigating, and exploiting vulnerabilities of frontier models.
Requirements
- Proficient in Python programming with experience using PyTorch
- Experience applying AI/ML to real-world data such as full-motion video, satellite or medical imagery, electronic health records, or audio recordings
- Experience building applications in Docker
- Experience developing software for robotic systems using ROS/ROS2
- Maintain an active portfolio of open-source software projects on a GitHub
- Published any of your work in a scientific journal and/or a conference
- Experience with AI/ML research
Responsibilities
- 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
- Supporting AI/ML research on campus or during an internship
- Developing software for robotic systems using ROS/ROS2
Other
- Have a Bachelor's or Master's degree in Computer Science or Engineering
- Are eligible for a DoD Top Secret security clearance
- U.S. citizenship
- Ability to pass a background investigation and meet the requirements for access to classified information
- Robust education assistance program
