Job Description

MITRE AI Engineering Position

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we are committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us.

MITRE's Multi-INT AI Engineering Department effectively combines the deep technical knowledge required to develop capabilities with critical domain knowledge to harness and shape those capabilities to meet multiple sponsor mission needs. We have the technical depth and breadth to thrive in mission focused R&D/S&T organizations and the well-earned sponsor credibility to execute work programs relating to research, analysis, prototyping, T&E, etc.

We seek motivated individuals who are interested in applying sensors, AI/ML systems, and data engineering for the exploitation of multiple data types to include remote sensing data. Remote Sensing data refers to those collected using infrared imagery (OPIR), hyperspectral imagery (HSI), radar (SAR/GMTI), full motion video (FMV), Wide Area Motion Imagery (WAMI), and 3D data from a range of sources.

Roles & Responsibilities:

• Provide technical leadership by applying data analysis and AI techniques to solve and enhance the sponsor's mission.
• Select and evaluate AI models to solve a wide variety of sponsor problems (forecasting, classification, triage). Tailor models for use in production and develop methods to evaluate their effectiveness.
• Design and implement data normalization and ETL functions to prepare data for studies and further analysis.
• Define and execute technical studies of data analysis including hypothesis formulation, experiment design and experiment execution with small teams.
• Propose technical approaches and prototype solutions to validate study concepts and demonstrate mission value.
• Document and discuss prototypes and study results and to formulate technical approach to transition into wider production use.

Basic Qualifications:

• Typically requires a minimum of 8 years of experience in artificial intelligence with a bachelor's degree in a relevant field; or 6 years and a master's degree; or a PhD with 3 years' experience; or equivalent combination of AI-related education and work experience.
• Hands-on experience fine-tuning, deploying, and evaluating large language models and Agentic AI
• Demonstrated advanced skills with Python and the standard AI technical stack
• Ability to work independently to learn new technologies, methods, processes, frameworks/platforms, and systems
• Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences
• Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.
• Active TS/SCI with Full Polygraph clearance
• This position requires a minimum of 4 days a week on-site

Preferred Qualifications:

• Advanced degree in computer science, engineering, or related disciplines
• Track record of successful deployment of AI/ML systems or components that have been used by customers or stakeholders outside of a lab/experimental setting
• Experience leading small and medium-sized teams to solve complex technical challenges
• Understanding of TCP/IP networking and common application protocols.
• Experience deploying robust, optimized solutions through MLOPs pipelines
• Experience utilizing in an HPC environment for training large models

Salary compensation range and midpoint:

$174,000 - $217,500 - $261,000 Annual

Work Location Type:

Onsite

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.

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