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Department Summary:

MITRE’s Artificial Intelligence & Autonomy Innovation Center is home to an interdisciplinary, diverse, and dynamic team united by a passion to catalyze consequential use of Artificial Intelligence (AI). We are 250 strong and growing! We collaboratively work across government, industry, and academia to address complex AI and Autonomy challenges for the benefit of our nation. We apply our trusted technical expertise to enable the effective, assured, and responsible application of AI to critical government missions. MITRE aims to realize the transformative potential of AI for public good.

MITRE’s Trustworthy & Secure AI Department within the Artificial Intelligence & Autonomy Innovation Center consists of a diverse team united by a passion and a sense of urgency to harness trustworthy and assured artificial intelligence to help solve problems in the public interest. The Trustworthy & Secure AI (TSAI) Department supports our sponsors' missions by delivering capabilities for securing and increasing trust in AI-enabled systems, including data driven AI risk awareness and mitigation, AI red teaming, and trusted tools and techniques for applying AI in high consequence environments. The TSAI Department works across government, industry, and academia to provide, assess, and shape trustworthy and secure AI systems to address complex mission needs for our sponsors. Our work provides opportunities to address real-world challenges in the rapidly developing field of AI assurance, and to research and prototype new methods to address mission needs.

MITRE has state-of-the-art high performance computing resources and a recently acquired NVIDIA DGX SuperPOD system capable of an exaFLOP of 8-bit AI compute, enabling the development and deployment of foundation models for generative AI applications, including large language models (LLMs). We are looking for research engineers with applied technical expertise in deep learning, high-performance computing, and advanced topics in LLM deployment.

Roles & Responsibilities:

The position involves researching, developing, evaluating, and integrating AI capabilities, with a particular focus on security and trust, especially for generative AI. Specific responsibilities will include:

Conduct research, development, engineering, evaluation, and integration of AI, including LLMs, to help address critical national and global challenges in domains including health, transportation, law, climate change, national security and defense.Provide technical and organizational leadership to large interdisciplinary teams and complex projects with significant resource requirements and technical risksAnalyze AI use cases and recommend secure and trustworthy solutions to sponsorsBuild, scope, and staff technical projects with government sponsors and people leadersCollaborate across government, industry, and academia to provide, assess, and shape trustworthy and secure AI-enabled systems

Basic Qualifications:

Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years’ experience; or equivalent combination of related education and work experience.At least 2 years of experience leading large cross-functional teams and complex projects, leading others to execute on technical challengesHands-on experience with machine learning and one or more of the following technical areas: Generative AI, AI Security, Trustworthy AI, AI Governance, or AI T&EExcellent written and verbal communication skills to articulate complex technical concepts to both lay and expert audiencesThis position requires a minimum of 50% hybrid on-site

Preferred Qualifications:

Advanced degree in computer science, engineering, or related disciplinesDemonstrated advanced skills with Python and the standard ML stack (Tensorflow/Torch, NumPy, Pandas, etc.)10+ years of impactful work experience in AI-related fieldsExperience leading highly visible projects or teams to resolve complex problems with lasting impact on the larger missionExperience publishing consequential AI research in journals or conferencesTrack-record of successful deployment of AI/ML systems or components that have been used by customers or stakeholders outside of a lab/experimental settingAbility to obtain and maintain a US government security clearance

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):

None

Work Location Type:

Hybrid

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