Staff Applied Scientist - Hyperpod
Core
Develop state-of-the-art instruments and data acquisition systems to collect geoscientific data for mineral exploration, building predictive models to locate ore-grade mineralization.
Role type
Staff Applied Scientist (Hardware & Data Systems)
Builds
Proprietary sensor hardware, data acquisition systems, and predictive models for critical mineral discovery.
Domain
Critical minerals exploration, geophysics, and applied physics.
Deliverable
production ML models | product features | infrastructure
Required skills
Systems integration, data acquisition, Python, SQL, cloud computing, statistical modeling, physics-based analysis, computer vision, geophysical inversions, field sensor deployment.
Preferred skills
Remote sensing, geospatial ML, image processing, project management.
Technologies
Python, SQL, Git, CI/CD pipelines, cloud computing platforms.
Responsibilities
Design, develop, and deploy new mineral exploration data collection instruments; build models to predict compositional anomalies in the Earth's crust; integrate diverse geoscientific data into proprietary systems; collaborate with geoscientists to design field programs and reduce prediction uncertainty.
Seniority
Staff, hands-on IC with strategic impact