Founding AI/ML Engineer

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