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AI/ML Engineer

Terranox AI

San Francisco, CAFull-timeSeen 1mo agoStill listed 2 days ago

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At a glance

Compensation
No compensation found
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

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Job overview

Terranox AI seeks an AI/ML Engineer to build core machine‑learning systems for uranium discovery. The role involves creating computer‑vision models from sparse data, translating cutting‑edge research into production pipelines, and solving ambiguous problems in a hands‑on, start‑up environment.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningComputer VisionML Systems ProductionAmbiguous Problem FramingRecent ML Research Fluency

Qualifications

3+ Years ML Experience

Full job description

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

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