AI Machine Learning Engineer; junior career, on-site, Moorestown NJ

Position: AI Machine Learning Engineer (junior career, on-site, Moorestown NJ)
Location: Moorestown

Job :  
Date posted: Dec. 04, 2025
Description:
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:

• Monitoring and maintaining fielded AI capabilities to ensure optimal performance

• Developing new capabilities to enhance ML monitoring and continuous update processes for deployed systems

• 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 major Lockheed Martin facilities, including LM Moorestown, Valley Forge, Colorado, and Orlando, with flexible hours available outside of mission requirements
What's In It For You:
From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin's comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus - if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.
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 development and deployment

• Excellent interpersonal and communication skills, with the ability to work effectively in a team environment

• A self-motivated and proactive approach to work, with a strong work ethic and time management skills

• The ability to work on-site at major Lockheed Martin facilities, with occasional off-hours work required to meet mission needs
US citizenship is required for this role
Basic Qualifications:

• Bachelor's Degree in Engineering, Computer Science, or related field

• Experience with large dataset management and machine learning

• Proficiency in Python and related libraries (e.g. Num Py, Pandas)

• Knowledge of MLOps pipeline and modern machine learning techniques
Desired

Skills:



• Master's Degree in Engineering, Computer Science, or other related discipline

• Experience with Dev Ops tools:
Docker, Git Git Lab, Git Hub , Continuous Integration CI , Continuous Deployment CD

• Familiarity interfacing with databases (SQL, Mongo

DB, etc.)

• Experience with modern Computer Vision

• Experience with C++, Java, GO, and other compiled languages

• Experience developing applications on Linux

• Familiarity with network/messaging (UDP, ZeroMQ, RESTful API, etc.)

• Familiarity with high-performance computing

• Familiarity with radar systems and track processing
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret
Other Important Information You Should Know
Expression of Interest: 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. Should this match be identified you may be contacted for this and future openings.
Ability to Work Remotely: Onsite Full-time:
The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from…