AI​/ML Engineer Poly Security Clearance

Position: AI/ML 2 Engineer With Poly with Security Clearance
Location: Annapolis Junction

Job Number 725903

Description:

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

The AI/ML 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 AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills.

WHO WE ARE At Lockheed Martin, we're a pioneering aerospace and defense company that's been at the forefront of innovation for decades. With a long-standing history of pushing boundaries, we're now shaping the future of cyber and intelligence. Our team is committed to innovating at the Edge, where we harness the latest advancements in Artificial Intelligence and Machine Learning, and cyber technologies to stay ahead of emerging threats and opportunities WHO YOU ARE At Lockheed Martin, you will work with our team of skilled AI/ML Engineers design, create, test, and productize AI/ML algorithms that learn, predict, and make informed Expert knowledge of multiple programming languages (i.e. Python, Java, C++ decisions, meeting the evolving needs of our customers.

With strong familiarity with Hadoop, we develop and deploy scalable AI/ML models that integrate with data pipelines, infrastructure, and applications. WHY JOIN US Providing 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

Basic Qualifications:

TS/SCI w/ Poly Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.

Experience with standard machine language frameworks, e.g. Pytorch, Tensor Flow. Desired

Skills:

Technical

Skills:

o Strong proficiency in AI/ML frameworks such as Tensor Flow, PyTorch, or Hugging Face. o Expertise in model training, evaluation, and deployment. o Hands-on experience with AWS tools like Sage Maker, Lambda, EC2, and S3. o Experience in developing full-stack software applications (JavaScript, Python, Java, etc.). o Solid understanding of data structures, algorithms, and system design. Experience & Background: o Extensive experience in machine learning model development, including natural language processing (NLP).

o

Experience with model evaluation, optimization, and performance monitoring. o Proven experience in software engineering with strong coding skills. o Experience working in a government or defense-related environment is highly preferred. #RMSFF
2026 Clearance Level: TS/SCI w/Poly SP 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 standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate:
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 DC is $128,200 - $225,975. For states…