About the role
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
About Terranox AI
The first AI-powered uranium discovery company
Other roles at Terranox AI
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Job details
Salary
$150,000 - $250,000
Equity
0.1% - 1%
Location
San Francisco, CA
Experience
0+ years
Funding
Total raised
$500K
Last stage
Pre-seed
Investors
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.