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Lockheed Martin

A/AI Machine Learning Engineer Staff

Lockheed Martin, Fort Worth, Texas, United States, 76102

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Job ID & Posting Date

Job ID:

707651BR Date posted:

Oct. 20, 2025 Job Description

Are you ready to join a team of innovators and play a critical role in shaping the future of Artificial Intelligence? We're seeking a highly motivated and experienced Artificial Intelligence Engineer to join our Lockheed Martin Artificial Intelligence Center (LAIC) team. As a key member of our Applied AI team, you'll have the opportunity to work on high-impact projects, develop and apply cutting‑edge AI technologies, and collaborate with cross‑functional teams to drive innovation and experimentation. What you'll be doing:

Develop and apply current AI paradigms, including computer vision, deep learning, and reinforcement learning, to solve complex signal processing problems and field innovative solutions. Engage in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test. Take ownership of critical tasks and lead technical teams to deliver high‑quality solutions. Participate in the development of proposals and white papers to secure funding for AI research and development projects. Assume technical lead responsibilities and mentor junior engineers. Work collaboratively with cross‑functional teams to develop and deploy AI solutions. Communicate complex technical concepts and solutions to non‑technical stakeholders. What's in it for you:

From onsite to remote, we offer flexible work schedules and a comprehensive benefits package that invests in your future and security. Who are you:

A highly motivated and experienced Artificial Intelligence Engineer with a strong background in software engineering, AI, and machine learning. A strong background in signal processing theory and application (radar, communication, electronic warfare, sonar, audio, or biomedical). Experience with current AI paradigms, including computer vision, deep learning, and reinforcement learning. Proficiency in programming languages such as Python, Java, or C++. Self‑motivation, strong work ethic, and time management skills. Excellent interpersonal and communication skills. A Bachelor’s degree in computer science, electrical engineering, mathematics, or a related field. 5+ years of experience in AI or a related field. Basic Qualifications:

Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience in C++ or Python. Experience in ML frameworks & libraries: JAX (preferred), or PyTorch, or TensorFlow. Experience in Reinforcement Learning. Desired Skills:

Software Architecture experience. Experience interfacing with government‑supplied simulation and networks. Comfortable working in simulation & gym environments. Experience with DevOps tools: Docker, Git (GitLab, GitHub), CI/CD. Knowledge of MLOps pipeline and modern machine learning techniques. Clearance Level:

None Work Location:

The preferred work locations for this position are Lockheed Martin facilities in Moorestown, NJ; Valley Forge, PA; Littleton, CO; Fort Worth, TX; Liverpool, NY; Owego, NY; and Shelton, CT. Remote work arrangements may also be considered for qualified candidates. Pay & Benefits:

Pay Range: $128,200 – $225,975 annually (California & New York) or $147,400 – $255,530 (most major metropolitan areas) plus incentive plan eligibility. Benefits include Medical, Dental, Vision, Life Insurance, Short‑Term Disability, Long‑Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid Time Off, and Holidays. EEO Statement:

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. Application Window:

The application window will close in 90 days; applicants are encouraged to apply within 5‑30 days of the requisition posting date to receive optimal consideration. Other Information:

Type: Full‑time; Shift: First; Experience Level: Experienced Professional; Business Unit: Enterprise Business Services; Relocation Available: Possible; Career Area: Artificial Intelligence; Role: Artificial Intelligence Engineer.

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