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A​/AI Machine Learning Engineering Sr

Job in Township of Mount Laurel, Burlington County, New Jersey, USA
Listing for: Lockheed Martin
Full Time position
Listed on 2026-10-14
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Software Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 205000 USD Yearly USD 110000.00 205000.00 YEAR
Job Description & How to Apply Below
Location: Township of Mount Laurel

Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations. Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms;
Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms;
Determines software methods to best acquire and execute knowledge;
Implements algorithms into software to train systems to recognize patterns and perform specific functions;
Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation;
Review test outcomes, conducts troubleshooting, and works to debug issues;
Develops human-machine interface scenarios, breaking missions into tasks;
Documents interface requirements and implements human-machine interfaces

Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations. Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms;
Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms;
Determines software methods to best acquire and execute knowledge;
Implements algorithms into software to train systems to recognize patterns and perform specific functions;
Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation;
Review test outcomes, conducts troubleshooting, and works to debug issues;
Develops human-machine interface scenarios, breaking missions into tasks;
Documents interface requirements and implements human-machine interfaces. Join the Lockheed Martin Artificial Intelligence Center (LAIC) team and be part of a dynamic group that's pushing the boundaries of innovation in radar systems engineering, signal processing, data science, artificial intelligence, and machine learning. As a key member of the Applied AI team, you'll have the opportunity to work on a wide range of projects that are transforming the way we approach complex challenges.

With a focus on rapid iteration and deployment, you'll be instrumental in developing and maintaining cutting-edge AI capabilities that are making a real impact across the Lockheed Martin enterprise

What You’ll Be Doing
  • Researching state-of-the-art machine learning applications as they apply to fielded radar tracking systems
  • Developing new capabilities to enhance tracking systems, from design, integration and test, to fielding
  • Analyzing customer data to inform ML model performance assessments and updates
  • Collaborating with cross-functional teams to address evolving operational requirements
  • Working on-site at Moorestown, NJ
Who Are You

You are a highly motivated and organized individual with a strong working knowledge in radar systems engineering, signal processing, data science, artificial intelligence, and machine learning. You possess:

  • A strong foundation in technical skills, including ML model…
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