The MITRE Corporation Principal Environmental Intelligence Researcher in Boulder, Colorado
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MITRE’s newly established Artificial Intelligence and Autonomy Innovation Center consists of a multi-generational, diverse team united by a passion and a sense of urgency to harness AI and Autonomy to help solve problems in the public interest. We discover, create, and lead through empowering an inclusive community of collaborative innovators, learners, and technical creatives.
We are looking for people with a lifelong commitment to learning, who are passionate about harnessing artificial intelligence to make a positive impact in the world. We have built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We value our diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to discover connections, solve problems, and create extraordinary impact.
As a Principal Environmental Intelligence Researcher, you will:
Own and pursue a research agenda to drive understanding of the complex interactions between the climate, natural ecosystems, human social and economic systems, security and health.
Manage and lead a research team while providing mentorship.
Work closely with individual contributors and tech leads to build, communicate, and execute a research strategy.
We are looking for a blend of:
Interest in and ongoing insights into the impacts of AI technology, particularly in the area of environmental intelligence.
A track record of generating new ideas or improving upon existing ideas in artificial intelligence and/or machine learning, such as those demonstrated by one or more first-author publications or projects.
Experience managing/mentoring in a research environment.
Programming experience in creating high-performance implementations of machine learning algorithms.
Bachelor’s degree in Computer Science, Environmental Science, a related technical field, and/or equivalent practical experience.
10 + years crafting practical solutions at the intersection of AI and Environmental Science.
2+ years successful leadership experience.
US citizen, able to obtain and maintain a US government clearance.
Experience in natural language understanding, computer vision, automated reasoning, machine learning, or artificial intelligence.
Recent programming experience (e.g., C, C++, Python, R, or Java).
Contributions to research communities/efforts, including publishing papers on artificial intelligence and machine learning (AAAI, ACM, JMLR, ICLR, NeurIPS, ICML, ACL, CVPR).
PhD in Computer Science, Environmental Science, a related technical field, and/or equivalent practical experience
Relevant work experience, including full time industry experience or as a researcher in a lab.
Experience mentoring, leading teams, and/or projects.
Programming publication examples in GitHub or a similar repository.
Experience writing research grant proposals.
Strong publication record in a variety of forums (journals, conferences, etc.).
Ability to design and execute on a research agenda.
Preference given to qualified candidates with active clearance.
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