Remote Staff ML Engineer

Summary

The job is for a Software Engineering role at KoBold Metals, a mineral exploration company using AI to discover energy transition metals. The position involves building scalable ML systems for mineral exploration projects, collaborating with data scientists and geologists, and applying engineering best practices.

Requirements

• At least 5 years of experience as a software engineer, data scientist or ML engineer
• 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
• Proficiency in scaling complex data operations across distributed computing resources, using tools such as Spark or Dask

Responsibilities

• Architect, implement, and maintain foundational scientific computing libraries for distributed processing of large-scale geospatial rasters
• Build tooling to increase the velocity of machine learning progress on geospatial raster data
• In collaboration with data scientists, build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust

Preferred Qualifications

Experience with multispectral remote-sensing data from a variety of sources