Artificial Intelligence​/Machine Learning Engineer Poly SR Annapolis J

Artificial Intelligence / Machine Learning Engineer with Poly SR job at Lockheed Martin

Location:

Annapolis Junction, MD.

Job : 702489

Date posted: Aug. 25, 2025

The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models should be capable of learning and making predictions as defined by business logic developed to meet customer requirements. The Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation.

The Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the Engineer designs and creates scalable solutions for optimal performance.

The Engineer may be responsible for leading geographically diverse teams and often serves as the primary POC for AI‑related matters, requiring exceptional analytical, problem‑solving, and communication skills.

Lockheed Martin is a pioneering aerospace and defense company pushing the boundaries of innovation. Our team is committed to innovating at the Edge, harnessing the latest advancements in Artificial Intelligence and Machine Learning, and cyber technologies to stay ahead of emerging threats and opportunities.

You will work with our team of skilled AI/ML Engineers to design, create, test, and productize AI/ML algorithms that learn, predict, and make informed decisions, meeting evolving customer needs. With strong familiarity with Hadoop, you will develop and deploy scalable AI/ML models that integrate with data pipelines, infrastructure, and applications.

We provide ongoing training, mentorship, and development opportunities to help our cyber and intelligence professionals stay at the forefront of their field and achieve their career goals.

• Competitive and comprehensive benefits package.
• Rewards and recognition for your hard work.
• Medical and dental coverage.
• 401k retirement savings plan.
• Paid time off for work/life balance.
• And more.

• A Master's or Ph.D. in advanced math, artificial intelligence, data science, computer science, or deep learning from an accredited college or university is required.
• Plus 10 years of experience deploying machine learning algorithms is required. A Bachelor's degree may be substituted for a Master's degree, with 17 additional years of experience.
• Demonstrated abilities in software engineering and AI/ML model test and evaluation.
• TS/SCI with poly clearance.

• Expert knowledge of multiple programming languages (Python, Java, C++).

Expression of Interest: By applying to this job, you are expressing interest in this position and may 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 will be performed onsite at a designated Lockheed Martin facility.

Work Schedules: Lockheed Martin supports a variety of alternate work schedules. Schedules range from standard 40 hours over a five‑day work week while others may be condensed, providing additional time away from the office.

Schedule for this Position: 9x80 every other Friday off.

Pay Rate: The annual base salary range for this position in California and New York (excluding major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington, or Washington DC is $139,600–$246,100. For states not referenced above, the salary range will reflect the candidate’s final work location.

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

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

Experience Level: Experienced Professional

Business Unit: RMS

Relocation Available: No

Career Area: Software Engineering

Type: Task Order/IDIQ

Shift: First