Startups · AI

Founding Applied Scientist

Terranox AI · San Francisco, CA, US · On-site

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About Terranox AI

The first AI-powered uranium discovery company. Backed by Y Combinator.

About 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.

What they're looking for

  • 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
More about this role

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.

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.

  • 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
  • Experience...

Read the full posting on Terranox AI's site ↗

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