Staff Applied Scientist - Hyperpod
Core
Develop state-of-the-art instruments, simulate sensor performance, and build predictive models to locate ore-grade mineralization for critical battery metals.
Role type
Staff Applied Scientist (Mineral Exploration & Sensor Systems)
Builds
Proprietary data acquisition systems, 2D/3D geologic predictions, and worldwide mineral exploration datasets.
Domain
Mining exploration, geophysics, and critical minerals (copper, lithium, cobalt)
Deliverable
production ML models
Required skills
Sensor design and calibration, scientific computing, statistical modeling, physics-based methods, Python, SQL, cloud computing, data visualization, anomaly detection, geospatial data analysis
Preferred skills
Remote sensing, machine learning on geospatial data, image processing, project management
Technologies
Python, SQL, Git, CI/CD pipelines, cloud computing resources
Responsibilities
Design, develop, and deploy new mineral exploration data collection instruments; simulate, characterize, and calibrate sensor performance; build models to predict locations of ore-grade mineralization; integrate diverse geoscientific data into proprietary systems; create visualizations for model evaluation; collaborate with geoscientists to design field programs and reduce prediction uncertainty.
Seniority
Staff, hands-on IC with strategic impact