AI Machine Learning Engineer

Company: Lockheed Martin

Location: Moorestown, NJ (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-05-25

About this role

Basic Qualifications

  • Bachelor’s Degree in Engineering, Computer Science, or other related discipline
  • Comprehensive experience with Python and multiple libraries (NumPy, OpenCV, Scikit, Pandas, LangChain, etc.)
  • Experience using machine learning frameworks (Pytorch, Tensorflow, Hugging Face, MxNet, Caffe, etc.)
  • Experience with network/messaging (UDP, ZeroMQ, RESTful API, etc.)
  • Familiarity with C++, Java, JavaScript, TypeScript, Web-based languages (HTML5, CSS, etc.), GO, and other compiled languages
  • Experience developing applications on Windows and Linux
  • Creative and resourceful when it comes to problem-solving
  • Must be a US Citizen.

Job Description
WHO WE ARE
Lockheed Martin is a global leader in aerospace, defense, and technology solutions, dedicated to pushing the boundaries of innovation and shaping the future of the industry. With a rich legacy of excellence and a commitment to delivering advanced capabilities to our customers, we are proud to be at the forefront of cutting-edge technology and engineering.


What We're Doing
At Lockheed Martin, we're revolutionizing the aerospace and defense sector through groundbreaking technology, advanced manufacturing processes, and a world-class team of professionals. Our mission-driven approach and unwavering dedication to excellence ensure that we continue to deliver superior products and solutions to our customers around the world.


THE WORK
The Lockheed Martin Global Sustainment Information Systems and Innovation organization is seeking a high energy professional with a strong background in software engineering, artificial intelligence and machine learning to support the AI team and product portfolio, focusing on a broad range of projects across the corporation. The team is focused on exploiting small, innovative and agile teams to rapidly iterate and mature solutions from prototypes to deployment for utilization across the Lockheed Martin enterprise and in the field for our ...

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