AI Machine Learning Engineer

Basic Qualifications

• Bachelor's or Master's Degree in 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

At Lockheed Martin, we're at the forefront of cutting‑edge technology and innovation. Our campus in Manassas, Virginia is a hub for engineering excellence where we tackle some of the world's most challenging engineering problems. We pride ourselves on our culture of creativity, excellence, and product innovation.

In this exciting role, you will collaborate with industry‑leading design professionals and contribute to groundbreaking projects. Be 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 U.S. Navy.

Work with our team as we develop cutting‑edge tools for our Navy customer by integrating AI and ML capabilities into tactical systems.

• 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 in system testing and algorithm development
• Traveling to the tactical site to exercise the ML lifecycle (up to 25% of the time)

To 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.

• 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 and 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 and create solutions to difficult problems often requiring integration of conflicting and, at times, ambiguous or incomplete data on a fast‑paced schedule
• Demonstrated ability to effectively communicate complex design information, technical decisions, and issues to both highly technical and non‑technical peers
• Ability to build and maintain relationships across organizations, collaborate with others, engage in constructive conflict, and manage interpersonal dynamics – not afraid to challenge the existing approach to solutions
• Comfortable working in a fast‑paced and dynamic multi‑disciplinary environment

Working with Lockheed Martin means becoming part of a team making a significant impact in the field of engineering.

• An excellent working environment equipped with state‑of‑the‑art tools.
• The opportunity to work alongside industry leaders and top‑notch design professionals as well as Subject Matter Experts in Sonar and Acoustics.
• A chance to help solve some of the world’s most challenging engineering problems regarding highly complex and integrated subsystems.
• A culture that encourages creativity, excellence, and the development of remarkable products.

Part‑time Remote Telework:
The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.