Mineflow
Mineflow predicts the shape and location of mineral deposits
What Mineflow does
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.
1 open role
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
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Company facts compiled from public sources and last refreshed 9 September 2026. Details change; treat the company’s own site as the authority.