Machine Learning Software Developer

Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. We have an opening for a Machine Learning Software Developer to help to shape research and development efforts to derive greater knowledge from dense and sparse sensor networks operating across multiple phenomenological modalities. You will also contribute to the maturation of Large Language Model-driven agents, which work to augment the analytical capabilities of scientific staff working on this area. This position is programmatically in Global Security’s Nuclear Thread Reduction (N) Program and administratively in the Global Security Computing Applications Division (GS-CAD) within the Computing Directorate. This position will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level. In this role, you will Contribute to the development of software applications using object-oriented analysis, design, and programming techniques in Python. Under general direction, provide computer science, machine learning, or software development support to multitalented teams using industry standard software development practices, modern programming languages, and operating systems. Contribute to the development of a range of Large Language Model (LLM) centric applications including scientific, graphical user interface, database, and visualization applications on Windows and/or UNIX platforms.