Senior Machine Learning Engineer

Zanskar • Salt Lake City, UT

12d • Hybrid

About The Position

Geothermal energy is the most abundant renewable energy source in the world. There is 2,300 times more energy in geothermal heat in the ground than in oil, gas, coal, and methane combined. However, historically it’s been hard to find and expensive to develop. At Zanskar, we’re using better technology to find and develop new geothermal resources in order to make geothermal a cheap and vital contributor to a carbon-free electrical grid. We are revolutionizing the exploration process, setting new industry standards for discovery rates and finding new prospects at an unprecedented scale. To reduce risk and improve outcomes, we rely on novel machine learning modeling.

The Senior Machine Learning Engineer will design, build, and operate production-grade geospatial machine learning models within the Prospect Generation team to uncover hidden geothermal systems and drive real-world exploration decisions. A successful candidate will be a hands-on contributor, an experienced innovator, and a technical leader with an ability to grow deep learning expertise across teams. Strong communication skills are essential, as this role requires close collaboration with research, engineering, geoscience, land, and field teams. Startup experience is a strong plus.

Requirements

• 6+ years professional experience in machine learning engineering, preferably in a business environment
• Deep expertise in modern deep learning and statistical methods
• Proven experience developing, deploying, and maintaining production-grade machine learning models
• Strong software and infrastructure fluency. Our tech stack includes Python, SQL, PyTorch, GitHub, and Docker.
• Ability to work closely and collaboratively with engineers, domain experts, and non-technical stakeholders

Nice To Haves

• Familiarity with GCP, Dagster, Terraform, and QGIS
• Computer vision expertise
• Experience with geospatial, remote sensing, or geophysical data
• Startup experience

Benefits

• Paid holidays
• 15 days PTO + PTO accrual increase based on tenure
• Medical, dental, and vision coverage
• 401k
• Stock options
• Growth opportunities at a company with a direct impact in displacing carbon emissions

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 101-250 employees