Machine Learning Engineer at Terranox AI

Job Title: Machine Learning Engineer

About the role

Terranox AI is a venture-backed startup supported by General Catalyst, 776 Ventures, and Y Combinator, applying machine learning to modernize the uranium discovery process to secure the future of clean, scalable nuclear energy.

Responsibilities

• Build core machine learning systems from scratch
• Develop computer vision models using sparse, messy data to drive real-world discovery decisions
• Take models from research to production in a field critical to global energy security

Requirements

• At least 5 years of professional ML experience with a proven track record of building complex systems from the ground up
• 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

Qualifications

• Fluent in Python and other relevant programming languages
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Knowledge of geology and/or mineralogy is beneficial

Skills

• Strong problem-solving skills
• Excellent communication and collaboration skills
• Ability to work independently and manage multiple projects simultaneously

Benefits

• High-tier backing by investors like General Catalyst, 776 Ventures, and Y Combinator
• Work in an early-stage, build-from-zero environment
• Complete ownership over the technical architecture and strategy for the world's first AI-powered uranium discovery company
• Solve the structural shortage of uranium to enable clean, scalable, baseload nuclear energy globally

Pay

Not disclosed

Schedule

Flexible

Benefits

• Health insurance
• Retirement plan
• Flexible work schedule
• Professional development opportunities