Senior Machine Learning Engineer
Zanskar
Posted
Jan 23, 2026
Location
USA
Type
Full-time
Mission
What you will drive
Role Overview**Title**: Senior Machine Learning Engineer**Hours**: Full-Time, Salaried**Location**: Salt Lake City, UT, On-Site**Benefits Eligible**: Yes**Manager**: Prospect Generation Manager
Mission โ Why we exist and why we need youGeothermal 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 itโs been hard to find and expensive to develop. At Zanskar, weโre 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.
Impact
The difference you'll make
This role helps make geothermal energy a cheap and vital contributor to a carbon-free electrical grid by using machine learning to find and develop new geothermal resources, directly displacing carbon emissions.
Profile
What makes you a great fit
Required qualifications:
- 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 with Python, SQL, PyTorch, GitHub, and Docker
- Strong communication skills and ability to collaborate with technical and non-technical stakeholders
Benefits
What's in it for you
Benefits include:
- Medical, dental, and vision coverage
- 401k
- Stock options
- 15 days PTO + PTO accrual increase based on tenure
- Paid holidays
- Growth opportunities at a company with direct environmental impact
About
Inside Zanskar
Zanskar uses better technology to find and develop new geothermal resources to make geothermal a cheap and vital contributor to a carbon-free electrical grid, revolutionizing the exploration process with novel machine learning modeling.