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Co-Founder & President

Chief Executive & Co-Founder

Global scramble for battery metals intensifies as U.S., Chinese firms target Zambia’s $10 billion critical minerals market

African Mining Week (AMW) to Showcase Emerging Mining Frontiers as Africa Ramps Up Geomapping

African Mining Week (AMW) to Host United States (U.S.) - Africa Roundtable as Washington’s Presence in African Mining Expands

African Mining Week (AMW) to Highlight Artificial Intelligence (AI) and Advanced Tech Driving Africa’s $8.5T Mining Transformation

Senior Software Engineer, Scientific Computing

KoBold Metals is a leading independent mineral exploration company focused on using AI models for mineral exploration. The Senior Software Engineer, Scientific Computing will apply software engineering and machine learning to various mineral exploration data, collaborating with data scientists and geologists to develop scalable ML systems that enhance decision-making in exploration projects.

Software Engineer

KoBold Metals is a leading independent mineral exploration company that builds AI models for mineral exploration. They are seeking Software Engineers to develop technology solutions that improve exploration success rates and make mineral exploration data accessible to users.

Software Engineer (All Levels), United Kingdom

Software Engineer (All Levels)

KoBold Metals is a pioneering company in the mining industry focused on revolutionizing mineral exploration through advanced technology solutions. They are seeking Software Engineers to develop state-of-the-art tools and collaborate directly with exploration teams to enhance exploration success rates and accessibility of data.

Data Scientist - Staff or Senior

KoBold Metals is a mineral exploration company focused on using AI to discover and develop essential metals for a low-carbon economy. The Data Scientist role involves building predictive models and developing software to enhance mineral exploration efforts, working collaboratively with geoscientists and engineers to reduce uncertainty in data and guide exploration decisions.

Data Scientist - Staff or Senior (United Kingdom)

Data Scientist

KoBold Metals is a mineral exploration company using AI to explore for the metals needed for a low-carbon economy. The Data Scientist will build predictive models and apply scientific computing methods to enhance mineral exploration efforts, collaborating closely with geoscientists to reduce uncertainty in predictions and guide fieldwork.

Data Scientist - (Global)

Product Manager

KoBold Metals is a leader in mineral exploration technology, focused on discovering world-class deposits using AI and innovative sensors. The Product Manager will collaborate with engineering, geology, and data science teams to enhance exploration efforts through data analysis and technology integration.

VP, Finance

KoBold Metals is a leading independent mineral exploration company focused on innovative technology for mineral discovery. They are seeking a VP of Finance to prepare their finance operations for IPO, requiring a blend of technical accounting expertise and strategic leadership to build efficient systems and processes.

KoBold Metals is a mineral exploration company using AI to explore for essential metals for a low-carbon economy. The Data Scientist role involves building predictive models and developing software to enhance mineral exploration efforts, working closely with geoscientists to identify and quantify uncertainty in data and predictions.

KoBold Metals is a mineral exploration company using AI to explore for the metals needed for a low-carbon economy. The Data Scientist role involves building predictive models and applying various scientific methods to identify ore-forming processes and enhance mineral exploration efforts.

Data Scientist - Staff or Senior (Australia)

Senior Infrastructure Engineer

KoBold Metals is a leading independent mineral exploration company focused on using AI models for mineral exploration. The Senior Infrastructure Engineer will partner with exploration and engineering teams to build reliable, scalable infrastructure, improving observability and streamlining MLOps workflows to support data-driven exploration insights.