Forge AI/Machine Learning Engineer Senior - Dallas, Tx

• Description:

• You will be the
• A/AI Machine Learning Engineer Sr\.
• for The Forge team\. Our team delivers end‑to‑end AI/ML solutions that transform raw data into actionable insights for Lockheed Martin Missiles & Fire Control programs\.
• What You Will Be Doing
• As the A/AI Machine Learning Engineer Sr you will be responsible for leading technical execution of high‑visibility AI projects and delivering measurable value to customers\.

Your responsibilities will include, but are not limited to: + Design, develop, and deploy AI/ML pipelines that address engineering, manufacturing, and business‑operations challenges \(e\.g\., test‑point reduction, automated calibration, AI‑enhanced document search, computer‑vision inspection\)\. + Build and implement edge‑deployed AI/ML solutions for classified, air‑gapped environments\. + Lead cross‑functional solution teams using a consulting‑style project framework, coordinating engineering design, production, and business operations\. + Partner directly with program customers to define value‑driven outcomes and deliver measurable results \(cost, labor, yield, schedule\)\. + Own the full DevOps lifecycle—CI/CD, containerization, model monitoring, and governance—for secure, high‑assurance AI in defense systems\.

• Why Join Us
• We are looking for a collaborative, purpose‑driven professional who thrives on turning complex data into high‑impact solutions that keep the warfighter safe and advance aerospace innovation\.

This role offers high visibility, direct influence on mission‑critical programs, and a clear path for career growth within a world‑class aerospace organization\. We are committed to supporting your work‑life balance and overall well‑being, offering flexible 4‑day × 10‑hour schedules\. Learn more about Lockheed Martin's comprehensive benefits package here \(https://lmt\.co/OneLM

• JobDescription
• Benefits\) \.
• Further Information About This Opportunity
• This position is in Dallas\. Discover more about our Dallas, Texas location\. \(https://lmt\.co/MFC
• JobDescription
• Dallas\)

MUST BE A U\.S\. CITIZEN

•  This position is located at a facility that requires special access\. The selected candidate must be able to obtain a secret clearance\. A company‑sponsored interim secret clearance is required to start\.

• Basic Qualifications:

• Master's or Ph\.D\. degree in Computer Science, Computer Engineering, Data Science, Applied Mathematics, Engineering, Physics or a related field
• Must be a US Citizen and have the ability to obtain a Department of Defense Secret Clearance
• AI/ML research and development, with a strong background in machine learning, deep learning, and generative AI such as LLMs
• Proficiency with python and agentic IDEs
• Experience with AI/ML frameworks and libraries, including TensorFlow, PyTorch, and MCPs
• Must have the ability to lay out technical roadmaps and communicate those plans and solutions to both highly technical and non
• technical stakeholders

• Desired Skills:

• Strong interpersonal skills and an ability to build effective working relationships
• Strong problem
• solving mindset with the ability to create solutions to difficult problems often requiring integration of conflicting and, at times, ambiguous or incomplete data on a rapid schedule
• Excellent technical and executive communication skills
• Experience with AI/ML ethics, fairness, and transparency
• Strong understanding of statistical modeling, machine learning techniques, agentic systems and LLMs
• Experience in full AI System solutioning including but not limited to, MLOps, retrieval systems, security, frontend UX/UI design, reliability, evaluation and verification

• 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:

• Part
• time

Remote Telework:

The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility\. The specific weekly schedule will be discussed during the hiring process\.

• 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:

• 4x10 hour day, 3 days off per week
• 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 in order to receive optimal consideration\.
• Join us at Lockheed Martin, where your mission is ours\.

Our customers tackle the hardest missions\. Those that demand extraordinary amounts of courage, resilience and precision\. They're dangerous\. Critical\. Sometimes they even provide an opportunity to change the world and save lives\. Those are the missions we care about\. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges\. Lockheed Martin has employees based in many states throughout the U\.S\., and Internationally, with business locations in many nations and territories\.

• Experience Level:

• Experienced Professional

• Business Unit:

• MISSILES AND FIRE CONTROL

• Relocation Available:

• Possible

• Career Area:

• Software Engineering

• Type:

• Full
• Time

• Shift:

• First