Salt Lake City, UT30+ days ago
Relevant technical strengths: • Surrogate modeling • Sequential decision-making under uncertainty and reinforcement learning • Software engineering: Git, code review, reproducibility, CI basics, Docker/container workflows • Experience with diffusion models • Exposure to subsurface modeling domains: geothermal, oil & gas, CCS, hydrogeology, geoscience, or related • Familiarity with cloud infrastructure and data systems (SQL, object storage, orchestration). To do that, we combine deep subsurface expertise with advanced AI technologies-including modern machine learning, scalable scientific computing, and uncertainty-aware modeling-to dramatically improve geothermal discovery and development outcomes.