About the role
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 first dedicated ML hire building the ML systems at the core of Terranox. The work spans multiple modalities and model classes, much of it without an off-the-shelf playbook. You'll train computer vision models from scratch on messy, sparsely-labeled data and ship them into a production pipeline that drives real-world decisions. This is a hands-on, build-from-zero role.
Requirements
- 5+ years of ML experience, with a track record of building ML systems from scratch
- Strong computer vision background
- Experience taking ML systems to production
- Comfort framing ambiguous problems, not just solving well-defined ones
- Fluency with recent ML research and the ability to translate it into shipped systems
Bonus but not required
- Geospatial experience
- Background in sparse-label or weak-supervision regimes
- Prior early-stage startup experience
Logistics
- In-person in San Francisco
