Elevate mineral exploration through AI at KoBold as a Senior Software Engineer in Scientific Computing. Leverage your machine learning expertise to develop innovative 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 analysis
- Integrate third-party tools into a repeatable pipeline




- Build tools to streamline machine learning processes
- Debug across boundaries of various technologies and datasets
- Coach team on engineering best practices and code quality

Requirements:

- 5-10 years as a software engineer or ML engineer
- Proven experience with data processing solutions
- Expertise in Python and array-based packages
- Background in physical science data and visualization
- Cooperative mindset with cross-disciplinary stakeholders

Join KoBold to leverage technology for sustainable mineral exploration.

📌 Scientific Computing Engineer at KoBold (Quebec City)
🏢 KoBold Metals
📍 Quebec City