The business problem is to scale high-impact R&D into tangible defense technology that supports critical missions, including for the U.S. Air Force, by inventing, refining, and operationalizing next-generation algorithms that push the limits of AI performance in contested and constrained environments.
Requirements
- Experience conducting original research in AI, machine learning, applied mathematics, optimization, or algorithm design
- Knowledge of advanced theoretical frameworks such as statistical learning theory, control theory, high-dimensional geometry, or Bayesian inference
- Ability to translate theoretical models into performant, deployable prototypes using tools such as Python, PyTorch, or JAX
- Experience publishing peer-reviewed research or applying novel AI or mathematical techniques in real-world, high-stakes systems
- Experience with secure computing environments
- Experience deploying AI in contested or edge settings
- Knowledge of PyTorch or JAX
Responsibilities
- Invent, refine, and operationalize next-generation algorithms that push the limits of AI performance in contested and constrained environments
- Collaborate with a small, elite team of analysts, defense mission experts, and engineers to transition theory into fielded capabilities
- Translate theoretical models into performant, deployable prototypes using tools such as Python, PyTorch, or JAX
- Conduct original research in AI, machine learning, applied mathematics, optimization, or algorithm design
- Publish peer-reviewed research or apply novel AI or mathematical techniques in real-world, high-stakes systems
- Transition theoretical work into deployed systems or high Technology Readiness Level (TRL) prototypes
- Deploy AI in contested or edge settings
Other
- Ability to obtain a TS/SCI clearance
- Doctorate degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or Physics
- TS/SCI clearance
- Experience as a postdoctoral fellow, assistant professor, or research scientist at a top-tier institution
- Must be on camera during interviews and assessments
