Senior Software Engineer, Decision Science

About the Company

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. We are the largest independent mineral exploration company and the largest exploration technology developer, helping to find vital energy transition metals like lithium, copper, nickel, and cobalt.

Responsibilities

• Architect, implement, and maintain decision science libraries for mineral exploration analyses
• Build tooling to increase decision-making velocity, including Jupyter notebook prototyping and simulation frameworks
• Turn successful R&D into robust, scalable pipelines
• Organize ML models and outputs for repeatability and discoverability
• Apply and coach team members on engineering best practices like writing testable and composable code
• Collaborate with data scientists, geoscientists, and engineers to invent modern decision science technology
• Occasional travel to exploration sites around the world (approximately twice per year)

Requirements

• At least 5 years of experience in decision science with a strong software engineering focus
• Track record of building production-quality data processing solutions or tooling
• Proficiency with ML concepts including statistical, traditional, and deep-learning approaches
• Proficiency in Python, ideally with array-based packages like xarray and numpy
• Deep experience with measured scientific data
• Experience in visualizing scientific data for domain experts
• Experience in MLOps and building robust ML systems
• Ability to work with limited, disparate, and noisy data sources
• Strong communication skills to collaborate with non-technical domain experts