Cleared AI​/ML Specialist; Top Secret Security Clearance

Position: 1994 Cleared AI/ML Specialist (Top Secret) with Security Clearance
* US CITIZENSHIP REQUIRED
* * ACTIVE US DOD TOP SECRET CLEARANCE REQUIRED
* * CONTINGENT UPON CONTRACT AWARD
* DESCRIPTION OF POSITION/DUTIES:

*** This is a contingent hire based upon contract award. No Staffing Agencies or third parties
*** The All Points Systems Engineering and Integration Team is seeking a US DoD Top Secret Cleared Artificial Intelligence/Machine Learning (AI/ML) Specialist to support the design, guidance, and implementation of AI/ML-enabled capabilities for missile defense mission areas. The successful candidate will contribute across multiple phases of the mission lifecycle, supporting analytical, modeling, simulation, and decision-support activities related to detection, tracking, discrimination, fire control, and engagement functions within a complex system-of-systems environment.

This position is contingent upon contract award and continued program funding. Employment offers may be extended prior to award; however, start dates and work assignments are subject to contractual authorization. The AI/ML Specialist will collaborate with systems engineers, domain experts, and software developers to identify appropriate problem formulations and opportunities for the application of AI/ML techniques. Responsibilities include developing and curating training and evaluation datasets from diverse sources, defining data management and labeling strategies, and designing scalable training, testing, and validation infrastructure consistent with program constraints and security requirements.

The AI/ML Specialist will collaborate with systems engineers, domain experts, and software developers to identify appropriate problem formulations and opportunities for the application of AI/ML techniques. Responsibilities include developing and curating training and evaluation datasets from diverse sources, defining data management and labeling strategies, and designing scalable training, testing, and validation infrastructure consistent with program constraints and security requirements.
The candidate will be responsible for guiding the selection, development, and integration of AI/ML models into existing analytical, modeling, and simulation frameworks, ensuring alignment with system architectures, interfaces, and performance objectives. This includes supporting model evaluation, uncertainty characterization, robustness assessments, and lifecycle considerations such as retraining, configuration management, and traceability. The AI/ML Specialist will also contribute to the establishment of best practices, standards, and governance for AI/ML usage, including documentation, verification and validation approaches, and coordination with broader digital engineering and systems engineering processes.

Emphasis will be placed on explainability, testability, and integration within mission-relevant workflows, while maintaining compliance with applicable policies, security requirements, and program constraints. The AI/ML Specialist will provide guidance and subject matter expertise to the Digital Ecosystem and Platforms team for the SE&I Team's AI adoption strategy. Key tasks include identification, evaluation, and integration of Large Language Model(s), as well as use case specific AI tooling such as SysML modeling and Integrated Development Environment (IDE) plug-ins.

EDUCATION:

* Bachelor's degree in Engineering, Computer Science, Applied Mathematics, Physics, or related discipline;
Master's degree or PhD strongly preferred YEARS OF

EXPERIENCE:

* 10-20 Years SKILLS/

CERTIFICATIONS:

Required Qualifications:

* Full US Citizenship
* Active, current, and fully adjudicated US Department of Defense Top Secret Clearance required
* Demonstrated experience applying multiple Artificial Intelligence and/or Machine Learning techniques (e.g., artificial neural networks, Bayesian belief networks, decision trees) to complex technical or analytical problems.
* Experience working with data-centric workflows, including data preparation, curation, labeling, and quality assessment for analytical or modeling purposes.
* Familiarity with the full AI/ML lifecycle, including model development, training, testing, validation, and…