What the role involves
Roles And Responsibilities
Design and implement model architectures and training schemes to maximize performance on massive geological datasets
Work closely with the Mineflow team to further improve model training/inference accuracy and latency
Build systems for automatically parsing datasets into model readable formats
Minimum Qualifications
BS in Computer Science, Artificial Intelligence, Math or some other rigorous technical field
Hands-on experience training and deploying machine learning models
Familiarity with ML state of the art, recent publications
Proactive and highly ambitious engineer who thrives in a fast-paced environment
What they ask for
About Mineflow
Mineflow is an AI platform for mineral exploration. We generate predictions for mineral deposit shapes and locations, empowering mining companies from initial exploration to advanced feasibility studies. Geologists need to know precisely where their deposits are because drilling is expensive. In early trials with a lithium mining company, we found that Mineflow predicts the shape of hard rock lithium deposits more than an order of magnitude more accurately than our competitors. Ryan received a BS in Artificial Intelligence from Carnegie Mellon's School of Computer Science where he helped teach both the grad-level Deep Learning course and the grad-level Search Engines course. He built ML models at Google in the Display Ads optimization org for 2 years and launched products that generated ~125m USD in ARR.
Full Mineflow profile