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 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