AI/ML Engineer, Level 3

Basic Qualifications

• BS in Computer Science, Software Engineering, Computer Engineering, Data Science or equivalent STEM field
• Must be a US Citizen; this position will require a government security clearance
• This position is located at a facility that requires special access
• Demonstrated proficiency in developing algorithms and performing analytical problem-solving using Python
• Familiarity integrating AI/ML Solutions into operational mission systems
• Experience with GitLab and a variety of CI/CD pipeline strategies to streamline and accelerate software delivery

Job Description

Space is a critical domain, connecting our technologies, our security and our humanity. While others view space as a destination, we see it as a realm of possibilities, where we can do more — we can innovate, invest, inspire and integrate our capabilities to transform the future.

We’re creating future-ready solutions, focusing on resiliency and urgency through our 21st Century Security® vision. We’re erasing boundaries and forming partnerships across industries and around the world. We’re advancing spacecraft and the workforce to fuel the next generation. And we’re reimagining how space can connect us, ensuring security and prosperity.

Join us in shaping a new era in space and find a career that's built for you. Our team needs a full-time AI/ML Engineer. In this role, you will be responsible for software development and design for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver AI / ML mission capabilities for Missile Defense. This position will also include acting as an AI / ML resource for the usage of AI / ML automation throughout the engineering lifecycle.

Desired Skills

• MLOps experience
• Experience with AI / ML usage in engineering lifecycles (generative coding)
• Experience building or scaling developer communities, internal advocacy programs, or technical ambassador networks
• Background in workforce planning, learning analytics, or training program measurement
• Familiarity with enterprise AI platforms and tooling ecosystems (e.g., Astris AI Navigator, Genesis, or comparable)
• Prior experience in defense, aerospace, or regulated enterprise environments
• Self-starter who takes initiative and drives tasks to completion, asking for and offering help when needed
• Strong communication and interpersonal skills; able to drive alignment and influence without formal authority

Other Important Information

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match.

Ability to work remotely
Onsite
Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.