As the first dedicated ML hire at Terranox AI, you will build core machine learning systems from scratch. You'll develop computer vision models using sparse, messy data to drive real-world discovery decisions. This hands-on role involves taking models from research to production in a field critical to global energy security.
Machine Learning Engineer at Terranox AI
Terranox AI is revolutionizing clean energy as the first AI-powered uranium discovery company. Backed by General Catalyst and Y Combinator, they are hiring their first dedicated Machine Learning Engineer in San Francisco to build core systems from scratch. If you're a Computer Vision expert with 5+ years of experience looking to apply ML to high-stakes, real-world problems like global energy security, this is your chance to lead technical strategy from the ground floor.
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Location
San Francisco, United States
Compensation
Not Disclosed
Company
Terranox AI
Role overview
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.
What you will do
- Design and train custom computer vision models from scratch, specifically handling messy and sparsely-labeled datasets unique to geological discovery.
- Architect and deploy end-to-end ML production pipelines that integrate directly into real-world decision-making and exploration workflows.
- Translate the latest machine learning research into practical, shipped systems that disrupt a discovery process that hasn't changed in decades.
Who this is a fit for
- Has at least 5 years of professional ML experience with a proven track record of building complex systems from the ground up.
- Possesses a strong background in computer vision and experience taking machine learning models all the way through to production environments.
- Demonstrates fluency with recent ML research and the ability to frame and solve highly ambiguous problems in an early-stage startup setting.
Why this role is remarkable
- Join as the first ML hire, giving you complete ownership over the technical architecture and strategy for the world's first AI-powered uranium discovery company.
- Work on a mission-critical problem: solving the structural shortage of uranium to enable clean, scalable, baseload nuclear energy globally.
- Benefit from high-tier backing by investors like General Catalyst, 776 Ventures, and Y Combinator while working in an early-stage, build-from-zero environment.
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If your profile’s a match and Terranox AI wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.