Machine Learning Scientist

Zanskar is revolutionizing the geothermal energy sector by leveraging advanced technology to discover and develop new geothermal resources. As a Machine Learning Scientist, you'll play a crucial role in making geothermal energy more accessible and commercially viable. The position focuses on developing AI tools and algorithms to optimize resource identification and reduce development costs.

The role combines cutting-edge machine learning with practical geospatial applications. You'll work on challenging problems involving temperature and depth heterogeneity, heat transfer processes, and commercial factors like grid access. Your work will directly impact the company's mission to make geothermal energy a significant contributor to a carbon-free electrical grid.

The position requires strong technical expertise in machine learning, particularly in areas like deep learning, computer vision, and geospatial applications. You'll be working with various datasets and developing applications for data processing, model deployment, and automation. The role demands both technical excellence and strong collaboration skills, as you'll work closely with diverse teams including geoscientists, land leasing, and field technicians.

Based in Salt Lake City, this hybrid position offers competitive benefits including medical coverage, 401k, and stock options. You'll join a mission-driven team that values innovation and problem-solving. The role provides an opportunity to make a direct impact on reducing carbon emissions while working with cutting-edge technology in the renewable energy sector.