Staff Applied Scientist - Hyperpod

New

KoBold MetalsMineral exploration

Remote, Candidates can be located anywhere in the United States or Canada.Full-TimeStaff

SalaryThe US salary range for this role is between $125,000 and $235,000. In addition to salary, we offer equity compensation.

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Job Details

Demonstrated ability to quickly absorb and synthesize complex information with intellectual rigor in a professional setting.
Experience developing complex equipment with cross-disciplinary teams and vendors.
Experience with physical measurement and data analysis systems using optics, electromagnetism, radiation, or gravity.
Ability to apply scientific knowledge to identify and prototype emerging technologies.
Experience with systems integration and data acquisition.
Extensive experience with Python data science packages and general software engineering practices.
Experience with collaborative software development using git and familiarity with unit tests, integration tests, and CI/CD pipelines.
Experience with SQL and familiarity with non-relational databases and cloud computing resources.
Experience building, evaluating, and interpreting predictive models.
Experience in data analysis, physics analysis, and applied statistics across varied data types, including physical-system data.
Ability to apply machine learning to mineral exploration and work with complex domains and limited, disparate, noisy data.
Experience deploying sensors in the field.
Ability to take ownership of large projects, prioritize tasks independently, and collaborate with domain experts.
Willingness to work directly with geologists in the field and travel to project sites; all employees travel at least one week per year.

Design, develop, and deploy mineral exploration data collection instruments and methods.
Help develop proprietary software exploration tools.
Find, curate, and integrate geospectral, geophysical, geochemical, geologic, and geographic data.
Build models that predict locations of compositional anomalies in the Earth's crust.
Create visualizations to evaluate model performance and enable interaction with data and key features.
Develop and apply data-processing, statistical, and physics-based techniques to geoscientific data.
Implement spatially aware clustering, anomaly detection, and other analysis methods.
Collaborate with data scientists, geoscientists, and engineers to develop algorithms for mineral exploration.
Present to and collaborate with external partners and stakeholders.

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