Job Description
The Senior Machine Learning Engineer will design, develop, and operate geospatial machine learning models to identify hidden geothermal resources, supporting exploration efforts and collaboration across multidisciplinary teams in a startup environment.
Key Responsibilities
- Design, build, and operate production-grade geospatial machine learning models to identify geothermal resources
- Collaborate with research, engineering, geoscience, land, and field teams to support exploration decisions
- Contribute hands-on to the development and improvement of machine learning models and techniques
- Lead and grow deep learning expertise within the team
Requirements
- 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.
- Have experience as a hands-on contributor, an experienced innovator, and a technical leader with the ability to grow deep learning expertise across teams.
- Possess strong communication skills to collaborate closely with research, engineering, geoscience, land, and field teams.
Benefits & Perks
Compensation/salary range: Salaried, full-time
Work schedule: Full-Time, on-site
Work environment perks: On-site work environment
Additional benefits: Eligible for benefits (unspecified)
Ready to Apply?
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