Forge AI/Machine Learning Engineer Senior - Dallas, Tx

Lockheed Martin•Grand Prairie, TX

2d•Hybrid

About The Position

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. 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.

Requirements

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
Must be a U.S. Citizen
The selected candidate must be able to obtain a secret clearance.
A company-sponsored interim secret clearance is required to start.

Nice To Haves

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

Responsibilities

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.