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Lockheed Martin

Artificial Intelligence Machine Learning Engineer - SE&IT

Lockheed Martin
United States · Full-time · Entry
Job Description

WHAT WE'RE DOING

  • 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 WORK

  • 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, fi re 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 explain ability, 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.

Who We Are

  • A dedicated team at Lockheed Martin committed to advancing missile defense systems
  • Collaborative environment focused on innovation and excellence in engineering
  • Engaged in high-impact projects with national security significance

Who You Are

  • 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

WHY JOIN US

  • 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

Desired Skills

  • 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.

Other Important Information

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to work remotely

Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.

Key Skills

Ranked by relevance

artificial intelligence machine learning simulation ai configuration management data analysis python matlab sql
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United States

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Posted
Jan 28, 2026
Type
Full-time
Level
Entry
Location
Huntsville
Company
Lockheed Martin

Industries

Defense Space Manufacturing

Categories

Engineering Information Technology

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