Description
The mining industry has steadily become worse at finding new ore deposits, requiring over 10 times more capital to make discoveries compared to 30 years ago. KoBold builds AI models for mineral exploration and deploys those models alongside novel sensors to guide decisions on exploration programs.
In this role, you will develop state-of-the-art instruments to collect data to guide exploration programs. You will simulate, characterize, and calibrate sensor performance and design new data acquisition systems. Working with vendors and partners, you will build hardware and work with operations staff to deploy it in the field.
With this sensor data and other data sources at KoBold, you will build models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D.
Responsibilities include:
- Designing, developing, and deploying new mineral exploration data collection instruments and methods
- Helping develop KoBold's proprietary software exploration tools
- Finding and curating various types of data and integrating it into KoBold's proprietary data system
- Building models to make statistically valid predictions about the locations of compositional anomalies within the Earth's crust
- Creating effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features
- Developing and applying data processing, statistical, and physics-based techniques to geoscientific data
- Presenting to and collaborating with external partners and stakeholders
- Pushing the state of the art in analysis capabilities by implementing statistically rigorous spatially aware clustering, anomaly detection, and other analysis methods
- Collaborating with data scientists, geoscientists, and engineers to invent and deploy algorithms that combine large and complex data sets for mineral exploration and discoveries
Qualifications:
- Demonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional setting
- Exceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologies
- A successful track record of developing complex equipment with cross-disciplinary teams and vendors
- Technical skills, including extensive experience with physical measurement and data analysis systems, applying scientific knowledge to identify and prototype emerging technologies, systems integration and data acquisition, Python's data science packages, collaborative software development, SQL, cloud computing resources, and building predictive models
- Capacity to dive deep on novel challenging problems in applying ML to mineral exploration
- Experience deploying sensors in the field
The US salary range for this role is between $125,000 and $235,000. Benefits include equity compensation, medical, dental, and vision insurance, a 401k retirement plan, short and long-term disability and life insurance, paid sick time, and parental leave.