AI / Machine Learning Engineer (early-career, on-site full time)

Overview Join the Lockheed Martin Artificial Intelligence Center (LAIC) team and be part of a dynamic group that is pushing the boundaries of innovation in radar systems engineering, signal processing, data science, artificial intelligence, and machine learning. As a key member of the Applied AI team, you will work on a wide range of projects that are transforming the way we approach complex challenges and developing cutting‑edge AI capabilities that have a real impact across the Lockheed Martin enterprise. Responsibilities Monitoring and maintaining fielded AI capabilities to ensure optimal performance. Developing new capabilities to enhance machine learning monitoring and continuous update processes for deployed systems. Analyzing customer data to inform machine learning model performance assessments and updates. Collaborating with cross‑functional teams to address evolving operational requirements. Working on‑site at major Lockheed Martin facilities (LM Moorestown, Valley Forge, Colorado, and Orlando) with flexible hours available outside of mission requirements. Benefits We offer flexible work schedules and a comprehensive benefits package that invests in your future and security. Lockheed Martin provides a culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality. Who are you You are a highly motivated and organized individual with a strong working knowledge in radar systems engineering, signal processing, data science, artificial intelligence, and machine learning. You possess: A strong foundation in technical skills, including machine learning model development and deployment. Excellent interpersonal and communication skills, with the ability to work effectively in a team environment. A self‑motivated and proactive approach to work, with a strong work ethic and time management skills. The ability to work on‑site at major Lockheed Martin facilities, with occasional off‑hours work required to meet mission needs. Qualifications Basic Qualifications Bachelor’s Degree in Engineering, Computer Science, or related field. Experience with large dataset management and machine learning. Proficiency in Python and related libraries (NumPy, Pandas). Knowledge of MLOps pipeline and modern machine learning techniques. Desired Skills Master’s Degree in Engineering, Computer Science, or other related discipline. Experience with DevOps tools: Docker, Git (GitLab, GitHub), Continuous Integration (CI), Continuous Deployment (CD). Familiarity interfacing with databases (SQL, MongoDB, etc.). Experience with modern computer vision. Experience with C++, Java, Go, and other compiled languages. Experience developing applications on Linux. Familiarity with network/messaging (UDP, ZeroMQ, RESTful API, etc.). Familiarity with high‑performance computing. Familiarity with radar systems and track processing. Security Clearance & Citizenship This position requires a government security clearance (Secret level) and US citizenship. Compensation & Work Schedules Annual base salary range (california, massachusetts, new york, colorado, hawaii, illinois, maryland, minnesota, new jersey, vermont, washington, dc) is $89,300 – $157,435. Work schedule: 4×10 hour day, 3 days off per week. Benefits include medical, dental, vision, life insurance, short‑term and long‑term disability, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and holidays. Equal Opportunity Statement Lockheed Martin is an equal‑opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. #J-18808-Ljbffr