MITRE is looking to solve the nation's toughest challenges in fields such as cybersecurity, healthcare, aviation, defense, and enterprise transformation by leveraging artificial intelligence and decision engineering.
Requirements
- Hands-on experience with machine learning (including deep learning and reinforcement learning), and one or more of the following technical areas: large language models (LLM), generative and agentic AI, decision science, human machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
- Experience with programming languages such as C++ and Python.
- Demonstrated recent experience with large language models.
- Experience with testing and evaluation of AI systems, explainable AI, or strategic AI adoption.
- Hands-on experience with the development and deployment of AI-enhanced decision system prototypes.
- Ability to articulate challenges in high-stakes decision making with AI and identify gaps.
- Ability to work independently to learn new technologies, techniques, processes, languages, platforms, and systems.
Responsibilities
- Apply large language models to sponsors’ decision making and problem-solving challenges.
- Design, develop, evaluate, and field AI solutions that inform consequential, mission-critical decisions.
- Identify and lead new R&D opportunities to strengthen the nation’s growing artificial intelligence capabilities.
- Work in cross-functional teams to develop and implement AI-enhanced decision systems, including capabilities that leverage large language model technology.
- Apply modern AI and engineering techniques to develop decision support software prototypes based on analysis of workflow and operational needs.
- Propose and execute novel, cutting-edge research in Al-enhanced decision systems.
- Evaluate Al solutions against sponsor requirements and produce actionable recommendations.
Other
- Must be able to obtain and maintain a US DoD Secret government clearance.
- This position requires a minimum of 50% hybrid on-site.
- Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences.
- Ability to function as a member of cross-functional teams.
- Requires a minimum of 3 years of related experience with a Bachelor's degree in computer science or an engineering discipline related to artificial intelligence; or 1 year plus a Master's degree.
