Job Description

Our staff members:

• Design, program, and architect advanced ML methods.
• Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics.
• Publish and present research at premier conferences.

The AI Technology and Systems Group is seeking motivated applicants who can contribute to projects addressing a wide range of national needs in AI and ML. Assignments may include:

• Research on state‑of‑the‑art algorithms in signal processing, natural language processing, graph analytics, and adversarial AI.
• Applying innovative methods to challenging, real‑world problems.
• Working in a collaborative, team‑oriented development environment.

This is an opportunity to apply your skills to some of the most important technical challenges of our time—while learning from and contributing to a world‑class research community.

Qualifications

Qualifications

Ph.D. in electrical engineering, computer science, or another relevant discipline, or a Masters and 5 + years of relevant experience will be considered.

Desired Skills

• Knowledge of artificial intelligence, ideally with applications to multimedia, cyber security or adversarial machine learning / AI security experience.
• Deep AI/ML experience – graduate-level (or professional) knowledge of state-of-the-art machine-learning, deep-learning, LLM/agentic AI, multimodal perception, differentiable modeling and simulation packages, graph analytics, adversarial/AI-assurance, or cyber-ML; ability to read, critique, and extend advanced research papers.
• System analysis & problem decomposition – can translate high-level end-state requirements into a clear set of research tasks, define quantitative success metrics and measures, and produce a task-breakdown structure that aligns with program/project milestones. Adept at formulating hypothesis, designing controlled experiments, and drawing data-driven conclusions on novel problems.
• Operate within a rapid research-to-prototype pipeline – demonstrable ability to turn novel algorithms and approaches into robust, reproduceable prototypes in tight timescales, around iterative refinement.
• Advanced Python & ML libraries – expert-level proficiency in Python and deep-learning frameworks (PyTorch, TensorFlow, etc.), plus Huggingface ecosystem, and data science frameworks (NumPy/pandas/SciPy, etc.).
• Software-engineering best practices – strong Git workflow (branching, pull-requests, code reviews), continuous-integration testing, environment reproducibility (e.g., conda, virtualenv). Ability to document code, write reproducible experiment notebooks, and maintain versioned releases.
• Team and Project leadership – experience leading small research teams, assigning tasks, tracking progress, removing technical blockers, and mentoring junior staff.
• Stakeholder communication – strong written and oral skills for prepping technical briefings, composing white-papers, demo presentations, and funding proposals; able to convey complex research outcomes to sponsors, senior leadership, and external partners.
• Detail-oriented, able to multi-task, with the ability to work autonomously, set technical direction, and operate with minimal supervision.
• Must have, or the ability to obtain a full scope Top Secret Clearance.