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

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.

• 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

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.

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.

• 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

• 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

This position requires a government security clearance. You must be a U.S. citizen for consideration. Clearance Level: Secret.

The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington, or Washington, D.C. is $89,300 – $157,435. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only.

Medical, Dental, Vision, Life Insurance, Short‑Term Disability, Long‑Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. This position is incentive plan eligible.

4×10 hour day, 3 days off per week.

The application window will close in 90 days; applicants are encouraged to apply within 5–30 days of the requisition posting date in order to receive optimal consideration.

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.