Source Job

Global

  • Help develop KoBold’s proprietary software exploration tools.
  • Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.
  • Develop and apply data processing, statistical, and physics-based techniques to geoscientific data.

Python Data Science Machine Learning Cloud Computing

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$120,000–$210,000/yr
Europe

  • Deep engagement with exploration geologists and data scientists, continual learning about mineral exploration, and tailoring technology development to the needs of exploration project scientists
  • Building data pipelines and tooling for deriving advanced human and machine insights from exploration data, often leading a small group of software engineers to successful delivery
  • Developing expertise in KoBold’s Data Systems and deeply understanding how they impact exploration

KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer.

$155,000–$225,000/yr
US

  • Decide what to build and why by developing conviction.
  • Collaborate with geologists and data scientists on geological hypotheses.
  • Find gaps in team practices and translate that into technology goals.

KoBold builds AI models for mineral exploration and deploys those models and novel sensors to guide exploration programs. The company has become the largest independent mineral exploration company and the largest exploration technology developer, with investments from T. Rowe Price, Andreessen Horowitz, and BHP.

$130,000–$140,000/yr
Global

  • Conduct remote sensing analytics and modeling.
  • Develop scalable analytical and reporting tools.
  • Manage GIS data collection, storage, and version control across team members.

Living Carbon PBC's mission is to fight climate change by transforming marginal land into high-value environmental assets. They specialize in restoring abandoned mineland and degraded agricultural land into diverse, thriving forests and backed by prominent investors.

US

  • Characterize and calculate map errors using state-of-the-art geospatial analysis.
  • Perform detailed trade studies on regional effects, map quality, and flight profiles.
  • Integrate geospatial insights into navigation algorithms.

SandboxAQ delivers AI solutions that address some of the world's greatest challenges, with Large Quantitative Models (LQMs) powering advances in various sectors. They are a tech-focused global team that emerged from Alphabet Inc. in 2022 and encourage creativity, collaboration, and impact.