Description:

KoBold is seeking a Staff ML Data Scientist to work remotely, focusing on mineral exploration using advanced AI models and remote sensing data.
The role involves architecting, implementing, and maintaining data science models for large-scale geospatial data relevant to mineral exploration projects.
Responsibilities include improving processing pipelines for lidar, high-resolution imagery, and hyperspectral data, as well as implementing advanced analysis methods.
The candidate will lead a team of 3-6 field engineers and data scientists, managing the global airborne data collection program and collaborating with various internal and external stakeholders.
The position requires a proactive approach to learning and exploring new technologies, with a strong emphasis on collaboration across disciplines.

Requirements:

Candidates must have at least 5 years of experience as a software engineer, data scientist, or ML engineer, with most ideal candidates having closer to 10 years.
A minimum of 2 years of experience managing technical teams in complex, multidisciplinary projects is required.
Proficiency in foundational concepts of machine learning, including statistical, traditional, and deep-learning approaches is essential.
Candidates should be proficient in Python, particularly with array-based packages such as xarray and numpy.
Experience in scaling complex data operations across distributed computing resources using tools like Spark or Dask is necessary.
A strong understanding of geology and mineral exploration practices, along with experience working with multispectral remote-sensing data, is preferred.
Candidates must demonstrate exceptional curiosity, a collaborative attitude, and the ability to communicate technical problems effectively to non-technical stakeholders.

The position offers a competitive salary range of $200,000 - $250,000 for full-time exempt employees.
KoBold Metals promotes an equal opportunity workplace and is committed to diversity and inclusion.
Employees will have the opportunity to work in a fast-growing early-stage company, contributing to innovative projects in mineral exploration.
The role allows for remote work, providing flexibility for candidates located anywhere in the United States or Canada.