Remote Senior Software Engineer, Scientific Computing & ML

KoBold Metals; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

KoBold Metals seeks a Senior Software Engineer, Scientific Computing to apply software engineering and ML to remote-sensing, drillhole, imaging, and geophysics data. You will build scalable ML systems and collaborate with data scientists and geologists to accelerate mineral discovery while contributing to teams across disciplines.

The role emphasizes developing robust libraries, ML pipelines, and tooling to prototype and productionize models that help locate economic ore concentrations

Qualifications

• Proficiency in Python and related data-science libraries; ability to implement ML models for scientific data
• Strong foundation in ML concepts, including traditional and deep learning approaches
• Experience building production-quality data processing tooling and pipelines
• Experience visualizing scientific data for domain experts
• Background enabling collaboration with data scientists, geoscientists, and engineers

Responsibilities

• Architect and maintain core scientific computing libraries for mineral exploration analyses
• Develop tooling to accelerate ML progress, prototyping in notebooks, and robust ML pipelines
• Collaborate with data scientists to build models predicting ore metal concentrations
• Mentor team on writing robust, testable, and composable code
• Partner with geoscientists and engineers to advance the scientific computing stack
• Travel to exploration sites globally to observe impact and guide technology development

Skills

Python

ML/AI

xarray

numpy

Jupyter notebooks

MLops

data processing

communication

Job description

KoBold Metals seeks a Senior Software Engineer, Scientific Computing to apply software engineering and ML to remote-sensing, drillhole, imaging, and geophysics data. You will build scalable ML systems and collaborate with data scientists and geologists to accelerate mineral discovery while contributing to teams across disciplines.

The role emphasizes developing robust libraries, ML pipelines, and tooling to prototype and productionize models that help locate economic ore concentrations