Location: Oak Ridge, TN
Cap-Exempt H-1B Position — No lottery required
Requisition Id 16168 **Overview:** The Environmental Sciences Division (ESD) of Oak Ridge National Laboratory (ORNL) has an opening for a Data Systems AI/ML Engineer within its Earth Sciences Informatics portfolio. You will be expected to work with a team as well as independently research and develop AI-driven methods to enhance discovery and usability of Atmospheric Radiation Measurement (ARM) data. In addition, you will develop and leverage training data sets derived from years of ARM metadata records, as well as design and implement Large Language Model (LLM)-based conversational interfaces to enable intuitive and efficient support intuitive data discovery. **Major Duties/Responsibilities:** ARM Data Center processes, archives, and distributes atmospheric observations from observatories across the globe and provides computational infrastructure and analysis tools for the scientific community. In this position, you will work independently and as part of a team to research, develop, and operate under the following requirements: - Contribute to and progressively lead Artificial Intelligence (AI) & Machine Learning (ML) engineering support on an ongoing basis as evidenced by, for example, innovative artifacts delivered to sponsors, platform development, technical presentations and technology demonstrations, professional community engagement, inventions/patents/copyrights, etc. - Support research and development professionals in developing tools for the ARM Data Center. - Collaborate and seek opportunities to publish at workshops and conference venues. - Develop and implement plans to exploit new opportunities and/or expand existing AI/ML workflows/efforts. - Lead by example through exercising research integrity in proposing, performing, and communicating best practices for AI, ML, and software engineering. - Lead by example to ensure all work is carried out safely, securely, and in compliance with ORNL policies, standards, and procedures. - Exemplify a commitment to