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SummaryWhy 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're 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.

The MITRE Corporation's N973 National Security Department is part of MITRE's Intelligence Center and supports national security sponsors through integrated technical research, systems engineering, cyber capabilities, and intelligence mission expertise. The department works across MITRE centers, divisions, projects, and sponsor stakeholders to align mission priorities with practical technical solutions, bringing together capabilities from across MITRE w appropriate. N973 partners with government sponsors to shape, evaluate, and transition impactful work that addresses complex national security challenges and helps ensure a safer, more secure nation.

Roles & Responsibilities:

As a Lead AI/ML Research Engineer, you will provide technical leadership in applied AI/ML research, model evaluation, and engineering to solve complex national security challenges. You will collaborate closely with government sponsors, mission partners, and multidisciplinary MITRE teams to design rigorous experiments, assess emerging AI capabilities and risks, and transition promising methods into reusable tools and operational workflows. Initial work may include foundation-model security and provenance challenges, while the role will remain broad across advanced model evaluation, AI assurance, and adversarial AI.

Responsibilities include:

Lead applied research and engineering involving artificial intelligence, machine learning, foundation models, data engineering, and modern software practices to address complex mission challenges.
Design and controlled experiments to train, fine-tune, adapt, and evaluate models, including benchmark development, behavioral analysis, and quantitative model comparison.
Develop reproducible research pipelines, evaluation harnesses, and prototypes using Python, modern ML frameworks, and GPU, cloud, or high-performance computing resources as appropriate.
Assess model performance, robustness, security, provenance, and operational suitability, including uncertainty, false-positive and false-negative tradeoffs, and alternative explanations.
Investigate and validate methods for AI security and assurance, which may include adversarial testing, model fingerprinting, model extraction or distillation analysis, and related emerging threats.
Transition promising methods into reusable software tools, repeatable workflows, technical documentation, and implementation recommendations.
Collaborate with government sponsors, mission partners, and multidisciplinary technical teams; communicate findings, limitations, and recommendations to technical and executive audiences.

Basic Qualifications:

Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 8years and a Master's degree; or a PhD with 5years' experience; or equivalent combination of related education and work experience.
Demonstrated hands-on experience developing, training, fine-tuning, adapting, or rigorously evaluating machine learning or foundation-model systems.
Strong programming skills in Python and experience with at least one modern ML framework; ability to develop reproducible research software, evaluation pipelines, or ML tooling.
Experience designing controlled experiments, benchmarks, or test plans and interpreting quantitative model-performance data.
Experience translating ambiguous mission or sponsor needs into executable technical approaches, research plans, prototypes, or recommendations.
Experience evaluating technical alternatives and balancing mission impact, implementation risk, technical feasibility, data constraints, and operational considerations.
Demonstrated ability to lead technical work and collaborate across multidisciplinary teams, government sponsors, mission partners, and senior leadership.
Strong written and verbal communication skills with the ability to explain complex AI concepts, findings, limitations, and uncertainty to technical and non-technical audiences.
Must have an active Top Secret/SCI w/Poly U.S Government issued Security Clearance.
This position requires a minimum of 4 days a week on-site.

Preferred Qualifications:

Experience with foundation-model evaluation, large-scale model inference or training, distributed computing, GPU clusters, or open-weight large language models.
Experience with knowledge distillation, model compression, model extraction, model provenance, behavioral fingerprinting, or related resear.

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