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# A/Ai Machine Learning Engineering Stf - E4

- **Company:** Lockheed Martin
- **Location:** United States
- **Experience:** Expert
- **Salary:** $135,700 - $251,900
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Elastic Compute Cloud, Amazon S3, Data Structures, Software Debugging, Human-Computer Interaction, Python (Programming Language), Machine Learning, Tensorflow, Requirements Management, Software Engineering, Pytorch, Deep Learning, Software Troubleshooting, Integration Tests, Information Technology, HuggingFace, Functional Programming
- **Published:** November 13, 2026
- **Apply:** https://www.careerbuilder.com/job-details/a-ai-machine-learning-engineering-stf-e4-annapolis-junction-md--7b9a27a0-8140-485a-888a-6d156f581cf8

## About the Role

Machine Learning, Artificial Intelligence (AI), Requirements Management, Algorithms, Training/Teaching, Software Development, Software Design, Technical Support, Integration Testing, Machine Learning, 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, TensorFlow.

Desired Skills

 * Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
 * Expertise in model training, evaluation, and deployment.
 * Hands-on experience with AWS tools like SageMaker, Lambda, EC2, and S3.
 * Experience in developing full-stack software applications (JavaScript, Python, Java, etc.).
 * Solid understanding of data structures, algorithms, and system design.
 * AI/SI development experience

## Description

Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test
outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces