Geologist - Product Analyst

About Us:

GeologicAI is a fast-growing technology company developing and deploying exciting new technologies for the energy and mining sectors. We build innovative geological robots that scan rocks, train AI to analyze the scan data, and make groundbreaking software that makes all our results incredibly useful for finding and extracting natural resources. We are well-funded, growing rapidly, and looking for amazing people to join our team

About the Role:

We are seeking an experienced and detail-oriented Geologist to join our Product team. Reporting directly to the Product Advisor, you will play a crucial role in training and evaluating one of our secondary AI products, the Sulfide Finder, as well as any other product that may need training. The Sulfide Finder is designed to accurately identify sulfide mineralization, providing an image overlay of sulfide grains as well as associated sulfide logging metrics as outputs.  

Your responsibilities will include creating precise sulfide grain image masks to train the model as well as assessing model performance in identifying pixels with sulfide minerals present. This role is essential for the deployment of our Sulfide Finder at each site as well as for the success of the company. Being one of our more unique products, the Sulfide Finder helps GeologicAI stand out against our competitors and makes us an attractive option in the core scanning industry.

Key Responsibilities

• Utilize mineralogical expertise to create training data by masking pixels in images with identified sulfide minerals.
• Collaborate with the R&D team to refine and improve the model’s recognition capabilities.
• Conduct performance evaluations of the Sulfide Finder by grading its outputs through visual inspection.
• Document observations, findings, and feedback to support iterative model and workflow improvements.
• Participate in team meetings to provide insights into possible geologic trends in model behavior as well as operational workflow related discussions.

Qualifications and Requirements

• Bachelor’s degree in Geology or a related field.
• Strong mineral identification skills with a focus on sulfides and ore body knowledge.
• Experience in core logging or similar mineral identification experience is preferred.
• Exceptional attention to detail and a commitment to accuracy.

Additional Requirements

• Familiarity with computer vision AI concepts and their application in geology.
• Capacity to learn new software tools quickly.
• Ability to work collaboratively in a multidisciplinary team environment.