Lockheed Martin · 2 hours ago
Artificial Intelligence Machine Learning Engineer - SE&IT
Huntsville, AL
Full-time
Onsite
Mid, Senior LevelLockheed Martin is a dedicated team committed to advancing missile defense systems. They are seeking an Artificial Intelligence Machine Learning Engineer to support the design, guidance, and implementation of AI/ML-enabled capabilities for missile defense mission areas, contributing across multiple phases of the mission lifecycle.
AerospaceCyber SecurityMachinery ManufacturingMilitaryNational SecurityRemote SensingSecurity
No H1B
U.S. Citizen Only
Responsibilities
Advancing the Integrated Discrimination and Electronic Protection capabilities of the Missile Defense System (MDS)
Leading systems engineering trades, analysis, and studies related to requirements generation
Developing and delivering MDS capabilities and engineering artifacts into the Technical Baseline (TBL)
The Systems Engineering and Integration Team is seeking an Artificial Intelligence Machine Learning Engineer 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
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
Artificial Intelligence Machine Learning Engineer 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 Artificial Intelligence Machine Learning Engineer 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
Qualification
Required
Experienced in systems engineering, particularly in requirements generation, concept development, analysis, and simulation
Skilled in leading technical teams and providing oversight in a complex engineering environment
Proficient in interfacing with technical stakeholders and managing technical documentation and baselines
Adept at preparing and delivering technical briefings and engineering products
Strong project management skills with experience in monitoring tasks, schedules, scope, and costs
Preferred
Experience applying AI/ML techniques within complex, distributed, or system-of-systems environments
Familiarity with modeling and simulation, digital engineering, or analytical frameworks used to support system design, assessment, or decision support
Experience with scalable training, testing, or evaluation infrastructure, including compute resource management and automation
Exposure to uncertainty quantification, robustness analysis, model verification and validation, or performance assessment methodologies
Experience supporting data governance, model traceability, or lifecycle management in regulated or mission-critical environments
Familiarity with explainable AI concepts or techniques and their application in engineering or decision-support contexts
Experience working in government, defense, aerospace, or other highly regulated technical domains
Ability to communicate technical concepts effectively to both technical and non-technical stakeholders
Experience supporting transition of analytical or AI/ML capabilities from development environments into operationally relevant workflows
Familiarity with hardware, programming languages, scientific computing environments, and resource management tools commonly used for data analysis and modeling to include graphical processing units (GPUs), Python / MATLAB / SQL, High Performance Computing (HPC) clusters and SLURM
Benefits
Excellent benefits and amenities.
Ongoing career development and support.
Rewards and recognition for your hard work.
Medical and dental coverage.
401k retirement savings plan.
Paid time off for work/life balance.
Mentorship opportunities
Company
Lockheed Martin
Lockheed Martin is a global security and aerospace company that specializes in advanced technology systems, products, and services. It is a sub-organization of Lockheed Martin.
Founded in 1912
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$6.06BKey Investors
Air Force Research Laboratory
2025-12-05Post Ipo Debt· $3B
2025-08-28Post Ipo Debt· $3B
2023-11-13Grant· $33.7M
Leadership Team
Jim Taiclet
Chairman, President & CEO
Craig Martell
Chief Technology Officer
Recent News
2026-01-24
2026-01-24
2026-01-22
Company data provided by crunchbase