Senior Geologist:

AI-Driven Mineral Exploration & Modeling Terra AI is building a new category at the intersection of artificial intelligence, geoscience, and critical resource development. As global demand for copper, lithium, nickel, rare earth elements, geothermal energy, and other strategic resources accelerates, the mining and subsurface industries face a growing challenge: traditional exploration methods remain slow, expensive, and highly uncertain. Terra AI was founded to help solve this problem by redefining how critical resources are discovered, evaluated, and developed. By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise, Terra AI helps exploration and mining companies make faster, more informed subsurface decisions with greater confidence and capital efficiency. The company's platform integrates geological, geophysical, and drilling data into intelligent systems designed to improve targeting accuracy, accelerate discovery timelines, and reduce exploration risk. Backed by leading investors including Khosla Ventures and working alongside strategic industry partners including Rio Tinto, Ero Copper, and Ramaco Resources, Terra AI is emerging as one of the more closely watched AI-native companies operating within the mining and critical minerals sector. Terra AI's mission is to define the new global standard for data-driven critical resource development - breaking the cost and time curve required to support electrification, energy security, and the global energy transition. The company operates with a strong partnership mentality, combining technical rigor, candid communication, continual learning, and environmental stewardship to help modern exploration teams solve some of the world's most important resource challenges. Role We are seeking a Senior Geologist to help lead geological interpretation and mineral systems modeling efforts that support Terra AI's exploration workflows. In this role, you will work closely with geologists, geophysicists, and machine learning engineers to integrate complex geological datasets into modern exploration models supporting critical minerals discovery. Interpret and integrate geological, geochemical, and geophysical datasets across multiple scales Build robust mineral systems and exploration models supporting probabilistic targeting workflows Support geological feature engineering and modern computational exploration workflows QA/QC historical and modern exploration datasets to improve modeling confidence Collaborate closely with internal and external technical teams across geology, geophysics, and engineering Produce technical reports, visualizations, and exploration recommendations for global projects Provide geological expertise to support the automation and improvement of exploration workflows Qualifications Experience in economic geology, mineral exploration, or mine development Strong experience in critical minerals and base metals geology Proficiency with GIS and 3D geological modeling software Experience integrating geological and exploration datasets into cohesive exploration models Strong understanding of geochemistry and mineralization systems Exposure to computational geology, geostatistics, remote sensing, or AI-enabled exploration workflows is considered beneficial Compensation $185,000- $250,000 + Equity In accordance with California law, Terra AI provides a good faith base salary range for roles that may be performed in California. Actual compensation will be determined based on experience, qualifications, skills, and market considerations. In addition to base salary, total compensation may include performance bonus opportunities, equity participation, and a comprehensive benefits package. Terra AI is an equal opportunity employer and is committed to building a diverse and inclusive team. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, or any other protected characteristic under applicable law. #J-18808-Ljbffr