Senior Machine Learning Engineer
Zanskar Geothermal & Minerals, Inc.
full-time
Posted on:
Location Type: Hybrid
Location: Salt Lake City • Utah • United States
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Job Level
About the role
- Design, build, and operate production-grade geospatial machine learning models
- Uncover hidden geothermal systems and drive real-world exploration decisions
- Collaborate with research, engineering, geoscience, land, and field teams
- Serve as a hands-on contributor and technical leader
- Grow deep learning expertise across teams
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. (Familiarity with GCP, Dagster, Terraform, and QGIS is a plus.)
- Ability to work closely and collaboratively with engineers, domain experts, and non-technical stakeholders
- Strong plus: computer vision expertise; experience with geospatial, remote sensing, or geophysical data
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learning engineeringdeep learningstatistical methodsproduction-grade machine learning modelscomputer visiongeospatial dataremote sensinggeophysical data
Soft Skills
collaborationtechnical leadershipcommunication