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Department Summary:
Our AI-enhanced Discovery and Decisions department has a need for an Artificial Intelligence and Decision Engineer with a passion for artificial intelligence (AI) and expertise in algorithms and decision making. We are specifically looking for talent in machine learning (including deep learning and reinforcement learning), and one or more of the following technical areas: large language models (LLM), generative AI, decision science, human machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
As an Artificial Intelligence and Decision Engineer, you will have opportunities to work on a wide range of problems, leading and working in interdisciplinary teams. Your experience will allow you to:
- 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.
- Assess the adequacy and maturity of existing AI-focused R&D programs and shape their technical and programmatic direction.
- Identify and lead new R&D opportunities to strengthen the nation’s growing artificial intelligence capabilities.
- Work on and lead 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 AI-enhanced decision systems.
- Evaluate AI solutions against sponsor requirements and produce actionable recommendations.
- Lead projects or small teams to solve complex decision problems for our sponsors.
Basic Qualifications:
- Typically requires a minimum of 8 years of related experience with a Bachelor’s degree in computer science or an engineering discipline related to artificial intelligence; or 6 years and a Master’s degree; or a PhD with 3 years of experience; or equivalent combination of related education and work experience.
- 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 AI, decision science, human machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
- Ability to articulate challenges in high-stakes decision making with AI and identify gaps.
- A keen interest in learning about and rapidly responding to new problems across a variety of domains.
- Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences.
- Ability to work independently to learn new technologies, techniques, processes, languages, platforms, and systems.
- Ability to work on and lead cross-functional teams.
- Experience with programming languages such as C++ and Python.
- Must be able to obtain and maintain a US government clearance (e.g., DoD Secret).
- This position requires a minimum of 50% hybrid on-site.
Preferred Qualifications:
- Demonstrated recent experience with large language models.
- Experience with testing and evaluation of AI systems, explainable AI, or AI fairness and bias assessment.
- Hands-on experience with the development and deployment of AI-enhanced decision system prototypes.
This requisition requires the candidate to have a minimum of the following clearance(s): None
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Secret
Work Location Type: Hybrid
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