Applied Scientist

• Design, develop, and deploy new mineral exploration data collection instruments and methods.
• Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.
• Collaborate with data scientists, geoscientists and engineers to invent and deploy algorithms that combine large and complex data sets for mineral exploration and discoveries.

This role accelerates the discovery of critical battery metals needed for electric vehicles, renewable energy, and data centers, reducing the environmental and capital costs of mining through AI-driven exploration.

• Demonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor.
• Extensive experience with physical measurement and data analysis systems (optics, electromagnetism, radiation, gravity).
• Proficiency in Python data science packages, SQL, cloud computing, and collaborative software development (git, CI/CD).
• Experience building predictive models and deploying sensors in the field.

Salary range: $125,000 - $235,000 USD annually, plus equity compensation. Benefits include medical, dental, vision insurance, 401k retirement plan, short & long term disability, life insurance, paid sick time, and parental leave.

KoBold Metals builds AI models for mineral exploration to discover copper, lithium, and other metals essential for clean energy, using proprietary sensors and data science to guide exploration programs.