JHU/APL's Artificial Intelligence Group is looking to close the gap between frontier AI models and sponsor expectations for an AI-dominated future by conducting foundational research with cross-mission impact.
Requirements
- Proficient in Python programming with experience using PyTorch and/or Jax, including Hugging Face libraries (transformers, diffusers, datasets, tokenizers, etc.)
- Measuring and increasing alignment between humans and AI agents
- Novel techniques for training and/or fine-tuning foundation models
- Models or agents for robotic control and problem-solving
- Adversarial and/or natural robustness of computer vision and autonomy
- Neural rendering techniques for 3D scene reconstruction
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
Other
- Have a PhD or equivalent degree with dissertation work in fundamental AI research.
- Have a strong record of peer-reviewed publications in reputable journals and/or conferences.
- Are able to acquire an Interim Secret level security clearance by your start date and can ultimately acquire a final Top Secret level clearance.
- Eligibility requirements include U.S. citizenship.
- The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges.
