Machine Learning Engineer, Staff or Principal

Core responsibilities:

• Architect, implement, and maintain foundational scientific computing libraries for mineral exploration analyses
• Build ML tooling to increase machine learning velocity, including prototyping frameworks, evaluation systems, and scalable ML pipelines
• Collaborate with data scientists to build models for statistically valid predictions about compositional anomalies in Earth's crust
• Apply and coach team members on engineering best practices and collaborate across disciplines to invent modern scientific computing stack for mineral exploration

This role contributes to building a sustainable world by enabling systematic mineral exploration for vital energy transition metals like lithium, copper, nickel, and cobalt, which are essential for electric vehicles, renewable energy, and data centers.

Required qualifications:

• At least 10 years of experience as a software engineer, data scientist or ML engineer
• Track record of building production ML solutions or tooling that delivered business value
• Proficiency with foundational ML concepts and Python (including array-based packages like xarray and numpy)
• Proficiency in parallel computing patterns and distributed computing frameworks like Dask
• Flexibility to engage with data scientists and increase their productivity for experimental and production workflows
• Collaborative attitude to work with stakeholders from different backgrounds (data scientists, geoscientists, software engineers, operations)

The US base salary range for this full-time exempt position is $200,000-$275,000. KoBold Metals is an equal opportunity workplace and affirmative action employer committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.

KoBold builds AI models for mineral exploration and deploys those models alongside novel sensors to guide decisions on exploration programs. The company has become both the largest independent mineral exploration company and largest exploration technology developer, with a portfolio of more than 60 projects with discovery potential.