AI/ML Engineer

Terranox is 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.

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 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

• 3+ 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