Senior Software Engineer, Decision Science

🕒 Outubro 29, 2025

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KoBold Metals

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2019

🤖 Inteligência Artificial

🔬 Ciência

⚡ Energia

Artificial Intelligence • Science • Energy

A KoBold Metals é uma empresa especializada em exploração mineral avançada. Investindo mais de $100 milhões anualmente em mais de 60 projetos em cinco continentes, a KoBold está na vanguarda do uso de inteligência artificial e novos hardwares para transformar a exploração mineral em uma ciência repetível. A empresa agrega dados abrangentes sobre a crosta terrestre e utiliza ferramentas de IA proprietárias, incluindo o sistema Machine Prospector®, para minimizar incertezas na exploração. A KoBold Metals é comprometida com práticas éticas de exploração e é apoiada por investidores de classe mundial dedicados a descobrir e desenvolver novos recursos de metais para baterias. Sua abordagem inovadora aproveita a IA para construir a maior coleção mundial de informações em geociências e modelar dados do subsolo estatisticamente.

Descrição

• Architect, implement, and maintain decision science libraries that will be used in KoBold’s mineral exploration analyses. • Build tooling to increase the velocity of our decision making, including enabling rapid prototyping in Jupyter notebooks; build experimentation, evaluation, and simulation frameworks; turning successful R&D into robust, scalable pipelines; and organizing ML models and their outputs for repeatability and discoverability. • Apply–and coach team members to use–engineering best practices such as writing robust, testable and composable code • Collaborate with data scientists, geoscientists and engineers to invent the modern decision science technology for mineral exploration • Occasional travel to exploration sites around the world to observe the impact of scientific computing on KoBold’s exploration products and design new technologies to further discovery. Travel is approximately twice per year depending on project needs.

🎯 Requisitos

• At least 5 years of experience in the field of decision science with a strong software engineering focus, though most great candidates will have closer to 10. • Track record of building production quality data processing solutions or tooling that have delivered business value • Proficiency with foundational concepts of ML, including statistical, traditional and deep-learning approaches • Proficiency in Python, ideally including array-based packages such as xarray and numpy • Deep experience with measured scientific data • Experience in visualizing scientific data for domain experts • Experience in MLops and in the making of robust ML systems • Drive to increase the velocity and effectiveness of our data scientists in both experimental and production workflows • Capacity to dive deep on novel challenging problems in applying decision science to mineral exploration, including understanding a complex domain of geology and mineral exploration practices as well as working with limited, disparate and noisy data sources • Collaborative attitude to work with stakeholders with different backgrounds (data scientists, geoscientists, software engineers, operations)