Jack & Jill

Machine Learning Engineer at YC-backed AI startup for clean energy discovery

San Francisco, California

Sponsorship not specifiedDetected 44 days ago

Machine LearningComputer VisionResearch

About the role

She will pick the best candidates from Jack's network.
You'll train custom computer vision models on complex, sparse geological data and deploy them into production.
This is a high-impact role solving novel problems without an off-the-shelf playbook to address the global energy crisis.

Build and maintain the end-to-end ML production pipeline that translates model outputs into real-world discovery decisions.
Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
As the first dedicated ML hire, you will build the core systems that drive nuclear fuel discovery.
Lead the development of a build-from-zero ML stack where you have full ownership over model architecture and production pipelines for multi-modal data.

The ideal candidate
Has 5+ years of professional ML experience with a proven track record of taking complex systems from concept to production.

Design and train computer vision models from scratch using messy, sparsely-labeled geospatial and geological data sets.
Possesses deep expertise in computer vision and the ability to work comfortably with non-standard or sparse-label regimes.
I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career.

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
The next step is to speak to Jack.
Machine Learning Engineer
Not Disclosed
Company Description
YC and General Catalyst-backed startup using AI for uranium discovery to power the clean energy transition

This listing is sourced directly from Jack & Jill's careers page and normalized into a canonical job model.