**About Terranox**
We're the first AI-powered uranium discovery company. Nuclear is the only clean, scalable, and baseload energy source available today, and we’re structurally short on uranium. We're addressing that by applying AI/ML to a discovery process that hasn't fundamentally changed in decades.
Backed by General Catalyst, 776 Ventures, Y Combinator, and others.
**The role**
You'll be our founding applied scientist, anchoring the scientific foundations of our discovery stack. You'll lead how we work with the full range of geoscientific data — geophysical, geochemical, geological, and remote sensing — from what we acquire, to how we process and integrate it, to how it feeds the systems that drive our targeting decisions. Much of the work has no off-the-shelf playbook.
**Requirements**
* PhD in geophysics, applied physics, computational physics, applied mathematics, or a closely related field; or equivalent deep technical expertise
* Deep experience with exploration geophysics and with geophysical inversions
* Strong scientific computing skills (Python, the standard stack)
* Working fluency with ML — you can be a real thought partner on what we're building
* Comfort with ambiguous, sparse, multi-modal data
**Bonus**
* Experience working alongside ML researchers or engineers
* Prior early-stage startup experience
**Logistics**
* In-person in San Francisco
Visa sponsorship is not available for this role.
