A/AI Machine Learning Engineer
Job in
Manassas, Prince William County, Virginia, 20108, USA
Listed on 2026-10-09
Listing for:
Lockheed Martin
Full Time, Part Time, Seasonal/Temporary
position Listed on 2026-10-09
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Engineer, DevOps
Job Description & How to Apply Below
Yes
ERP amount: $50 LMRecognition
Relocation:
Possible Type:
Exempt
Shift: 1
Clearance Prior to Start:
Interim Secret Final Clearance:
Secret Pay Transparency: $91,200.00 - $Experience Level: Experienced Professional FT/PT/Casual:
Full Time Department : RMS Core Business Unit: RMS Core Standard
Job Description WHAT WE’RE DOINGAt Lockheed Martin, we're at the forefront ofcutting-edge technology and innovation. Ourcampus in Manassas, Virginia is a hub for engineering excellence, where we tackle someof the world's most challenging engineering problems. We pride ourselves on our culture of creativity, excellence, and product innovation.
WHO WE AREIn this exciting role, you will have the opportunity to collaborate with industry-leading design professionals and contribute to groundbreaking projects. Be a part of the Lockheed Martin Rotary and Mission Systems (RMS) Artificial Intelligence (AI) team working with the Advanced Development Team on the Integrated Common Processor (ICP) program.
The ICP program provides a common
Integrated Undersea Surveillance Systems(IUSS) signal processing and display system software and hardware suite for the US Navy.
Work with our team as we develop cutting edge tools for our Navy customer through the integration of Artificial Intelligence and Machine Learning capabilities into this position you will be responsible for:
• Software development and debugging of an MLOps workflow integrated into a tactical system both in the lab and at customer sites
• Dataset curation, labeling, and training AI/ML models
• Validating and analyzing AI/ML algorithm results, iteratively improving results
• Generating data sets for use by the team insystem testing and algorithm development
• Traveling to the tactical site to exercise the ML lifecycle (up to 25% of the time)
WHO YOU ARETo excel in this role, you should possess the following qualifications and attributes:
• An innovative mindset, capable of finding solutions to complex engineering challenges.
• Commitment to excellence, attention to detail,and a dedication to delivering high-quality results.
Why Join UsYour Health, Your Wealth, Your Life Joining Lockheed Martin means becoming partof a team that's making a significant impact inthe field of engineering. When you choose towork with us, you'll enjoy:
• An excellent working environment equipped with state-of-the-art tools.
• The opportunity to work alongside industry leaders and top-notch design professionals aswell as Subject Matter Experts in Sonar and Acoustics.
• A chance to be a part of solving some of theworld's most challenging engineering problemsregarding highly complex and integratedsubsystems.
• A culture that encourages creativity,excellence, and the development of remarkableproducts.
Basic Qualifications
• Bachelor's or Master's Degree is Software Engineering, Computer Science, Machine Learning, or related STEM degree
• Experience in Software development, integration, and test
• Familiarity with Linux
• Active security clearance and willing to work onsite with our team in Manassas, VA in our advanced development lab Desired Skills
• Experience with AI/ML disciplines, domain programming languages (e.g. Python, C++, Linux), models, frameworks, and toolsets
• Dev Ops experience including CI/CD pipelines to build, test, deploy
• Experience with Acoustic Displays – reading Sonar GRAMS
• Experience with IUSS
• Experience with C/C++, CUDA, NVIDIA libraries, cloud, containers & modern AI tools, or have implemented AI inferencing streaming (e.g. Triton, kserve, etc.)
• Experience with production ML and High Performance Compute development systems
• Strong problem solving mindset: ability to develop create solutions to difficult problems often requiring integration of conflicting and,…
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