A/AI Machine Learning Engineering Stf - E4

Standard Job 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 Basic Qualifications 
 Bachelor's degree in Computer Science, Computer Engineering, Robotics, Applied Mathematics, or a related STEM field, and 9 years of relevant experience; or a Master's degree and 7 years; or a PhD and 4 years. Experience developing and implementing machine learning, AI, or autonomy algorithms, such as perception, planning, or controls. Proficiency programming in Python and/or C++. Experience taking algorithms from prototype through integration and test into a deployed or fielded software product. Experience translating requirements into software design and implementation. Desired Skills 
   Deep learning frameworks such as PyTorch or TensorFlow. Applied LLM or generative AI experience on engineering or mission problems. MLOps: model deployment, monitoring, and CI/CD for ML systems. Robotics and autonomy stacks such as ROS, sensor fusion, or motion planning. Cloud ML platforms (AWS, Azure, or GCP). Human machine interface design experience. Model verification and validation, test, or safety-critical software process experience. Experience mentoring engineers or leading technical tasks. Pay Information GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.  Full-time salary range (GEOZONE 1): $150800.00 - $280000.00  Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc. Full-time salary range (GEOZONE 2): $135700.00 - $251900.00  Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc. Full-time salary range (GEOZONE 3): $120600.00 - $224000.00 Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc. Full-time salary range (GEOZONE 4): $108600.00 - $201600.00 Includes metropolitan areas such as Camden, AR; Lexington, KY; Ocala, FL; Lufkin, TX; etc.  At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only.  Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.   Benefits offered: