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A chance to provide active support to our sponsor's vital national security mission and to build MITRE's capabilities in the artificial intelligence and machine learning arenas. This is a strategic leadership role with the successful candidate also advising and working to expand MITRE's internal capabilities and programs in artificial intelligence and machine learning. The selected candidate will work with MITRE management and sponsors to enhance the robustness of MITRE AI/ML capabilities and to have direct input into immediate and long term AI/ML technical direction of multiple sponsors. While still having a technical focus on current AI/ML technology and trends, this role will have small group management responsibilities and requires knowledge.
From the technical side, this role requires the ability to perform technical evaluation and selection of technologies and alternatives for infrastructure and specific applications, formulation of computational strategies and hands on implementation with real world datasets. Activities may include in-depth analysis of technology, planning and conducting experiments, prototypes and simulations, producing assessments, and creating repeatable workflows and underlying technology requirements. On the strategic side, this role requires technical team building and planning for long term growth of MITRE's support to sponsors in the AI/ML arena. The role also requires the ability to communicate findings and impacts to a diverse audience, including senior decision makers. This is an opportunity to shape and have a long lasting impact on AI/ML for national security tasks.
Technical degree with experience in software engineering and prototyping for analytics.
Minimum of 8 years of experience in a technical field, including but not limited to: Computer Science, Data Science, Computational Analytics, Informatics, or Machine Learning.
Experience with Python, R, and Jupyter Notebooks
Strong analytic, inferencing, critical thinking, and creative problem-solving skills.
Small group leadership experience.
Self-starter with ability to work alone and to build a diverse team.
Strong communication skills and ability to explain technical concepts to non-technical and senior decision-makers
Understanding of systems engineering processes including requirements analysis
Current TS/SCI clearance with polygraph
Doctorate in computational sciences or related field
Experience with data wrangling for analytics and machine learning
Familiarity with small scale and large scale AI/ML environments
Program strategy development and demonstrated leadership ability
Experience with cloud-based environments and other virtualization technologies