First ML Engineer — Computer Vision for Nuclear Discovery

Jack & Jill; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Terranox AI in San Francisco is hiring the first dedicated ML engineer to build core machine learning systems from scratch, developing computer vision models with sparse, messy data to support uranium discovery. You’ll take models from research to production in a field critical to global energy security.

This hands-on role offers ownership of architecture and production pipelines, and the chance to translate the latest ML research into practical, shipped systems that drive real-world decisions

Qualifications

• At least 5 years of professional ML experience.
• Strong background in computer vision and production environments.
• Ability to translate research into shipped systems in an early-stage startup.

Responsibilities

• Design and train custom computer vision models from scratch on messy and sparsely-labeled datasets.
• Architect and deploy end-to-end ML production pipelines that integrate into real-world exploration workflows.
• Translate the latest machine learning research into practical, shipped systems that disrupt traditional discovery processes.

Skills

Machine Learning

Computer Vision

Production Pipelines

Research Translation

Job description

Terranox AI in San Francisco is hiring the first dedicated ML engineer to build core machine learning systems from scratch, developing computer vision models with sparse, messy data to support uranium discovery. You’ll take models from research to production in a field critical to global energy security.

This hands-on role offers ownership of architecture and production pipelines, and the chance to translate the latest ML research into practical, shipped systems that drive real-world decisions