Elevate mineral exploration through AI at KoBold as a Senior Software Engineer in Scientific Computing. Leverage your machine learning expertise to develop creative solutions across diverse data types.This remote role is an integral part of KoBold's scientific computing team. You'll apply software engineering and machine learning techniques to improve mineral discovery processes, collaborating closely with data scientists and geologists. Your primary focus will be building scalable systems and innovative tools to manage complex scientific data for effective decision-making.Key Responsibilities:Architect and maintain scientific computing libraries for mineral analysisIntegrate third-party tools into a repeatable pipelineBuild tools to streamline machine learning processesDebug across boundaries of various technologies and datasetsCoach team on engineering best practices and code qualityRequirements:5-10 years as a software engineer or ML engineerProven experience with data processing solutionsExpertise in Python and array-based packagesBackground in physical science data and visualizationCollaborative mindset with cross-disciplinary stakeholdersJoin KoBold to leverage technology for sustainable mineral exploration.

📌 Scientific Computing Engineer At Kobold (Toronto)
🏢 KoBold Metals
📍 Toronto