A geoscience frontier company building AI to accelerate subsurface resource development for a clean energy future. Backed by Khosla.
About the role
Collaborate closely with domain experts to translate requirements into software that is correct, usable, and extensible.
What they're looking for
- Strong software engineering fundamentals and proven ability to take ownership of complex codebases
- Production-grade Python skills
- Comfort working in Julia or willingness to go deep quickly
- Experience designing APIs, handling configuration, and building reliable execution paths for complex workflows
- Familiarity with performance profiling and optimization tooling
- Familiarity with ML frameworks at an integration level (PyTorch preferred, TensorFlow or JAX also relevant), including artifacts, I/O, and runtime concerns
More about this role
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...
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