Founding Machine Learning Engineer

Mineflow is an innovative AI platform revolutionizing mineral exploration by generating precise predictions for mineral deposit shapes and locations. This technology empowers mining companies throughout their journey, from initial exploration to advanced feasibility studies.

As a Founding Machine Learning Engineer, you'll be at the forefront of developing cutting-edge AI solutions for the mining industry. The role offers a unique opportunity to work with massive geological datasets and create models that have real-world impact. In early trials with a lithium mining company, Mineflow's predictions proved to be more than an order of magnitude more accurate than competitors.

The company is led by Ryan Goggins, who brings valuable experience from Google's Display Ads optimization team where he helped generate ~125m USD in ARR. With his background in AI from Carnegie Mellon's School of Computer Science and experience teaching graduate-level Deep Learning and Search Engines courses, you'll have the opportunity to learn from and work alongside experienced leadership.

This role is perfect for ambitious engineers who want to make a significant impact in the intersection of AI and mineral exploration. You'll be responsible for designing and implementing model architectures, improving training schemes, and building robust systems for data processing. The position offers both technical challenges and the excitement of being part of a founding team in a YC-backed startup that's solving real-world problems in the mining industry.