Lockheed Martin · 3 hours ago
Artificial Intelligence Machine Learning Engineer - SE&IT
Huntsville, AL
Full-time
Onsite
Senior Level
5+ years expLockheed Martin is a dedicated team committed to advancing missile defense systems. They are seeking an Artificial Intelligence Machine Learning Engineer to support the design and implementation of AI/ML-enabled capabilities for missile defense, collaborating with systems engineers and software developers on various analytical and modeling activities.
AerospaceCyber SecurityMachinery ManufacturingMilitaryNational SecurityRemote SensingSecurity
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)
Supporting the design, guidance, and implementation of AI/ML-enabled capabilities for missile defense mission areas
Contributing 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
Collaborating with systems engineers, domain experts, and software developers to identify appropriate problem formulations and opportunities for the application of AI/ML techniques
Developing and curating training and evaluation datasets from diverse sources
Defining data management and labeling strategies
Designing scalable training, testing, and validation infrastructure consistent with program constraints and security requirements
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
Supporting model evaluation, uncertainty characterization, robustness assessments, and lifecycle considerations such as retraining, configuration management, and traceability
Contributing to the establishment of best practices, standards, and governance for AI/ML usage
Providing 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.
10001+ employees
H1B Sponsorship
Lockheed Martin has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (1)
2022 (1)
2021 (2)
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
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