National Renewable Energy Laboratory - Golden, CO
posted about 1 month ago
The National Renewable Energy Laboratory (NREL) is seeking a full-time Machine Learning Research Engineer to join the AI, Learning, and Intelligent Systems (ALIS) Group within the Computational Science Center. This position is focused on the development of large-scale foundation models aimed at scientific discovery. The successful candidate will leverage modern machine learning techniques to address significant challenges in science, contributing to NREL's mission of advancing renewable energy and energy efficiency technologies. This role is remote-friendly and provides access to state-of-the-art high-performance computing (HPC) systems equipped with the latest hardware accelerators for distributed computing. In this position, the engineer will be responsible for designing, developing, configuring, debugging, deploying, and supporting frameworks and workflows on scalable, accelerated computing hardware and cloud architectures. The role involves close collaboration with research scientists to implement, train, and deploy large-scale machine learning models, as well as assisting in the publication of research findings. The engineer will also work alongside computing professionals to optimize the efficiency of model training and inference on advanced computing hardware. Candidates should possess a relevant technical background in machine learning, with experience in implementing, training, and deploying models on high-performance systems or cloud environments. Familiarity with large language models is preferred, and a genuine interest in AI for science and NREL's mission is essential. NREL values diverse perspectives and encourages individuals from various backgrounds to apply, even if they do not meet every listed expectation.