Staff Applied Scientist – Metalab

🔥 4 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $125k - $235k / year

⏰ Full Time

🔴 Lead

🧬 Research Scientist

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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KoBold Metals

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

🔬 Science

⚡ Energy

Artificial Intelligence • Science • Energy

KoBold Metals is a company specializing in advanced mineral exploration. By investing over $100 million annually across 60+ projects on five continents, KoBold is at the forefront of using artificial intelligence and novel hardware to transform mineral exploration into a repeatable science. The company aggregates comprehensive data on the Earth's crust and utilizes proprietary AI tools, including the Machine Prospector® system, to minimize uncertainties in exploration. KoBold Metals is committed to ethical exploration practices and is backed by world-class investors dedicated to discovering and developing new battery metal resources. Their innovative approach leverages AI to build the world's largest geoscience information collection and model subsurface data statistically.

📋 Description

• Develop state-of-the-art instruments to collect data for mineral exploration programs • Simulate, characterize, and calibrate sensor performance • Design new data acquisition systems • Work with vendors and partners to build hardware • Deploy hardware with operations staff in the field • Build models using sensor and other data to identify ore-forming processes and predict ore-grade mineralization in 2D and 3D • Build a worldwide dataset while identifying and quantifying uncertainty in data and predictions • Create models and develop software to accelerate discovery of critical battery metals • Work with data scientists, engineers, and geoscientists to incorporate geological, chemical, and physical process knowledge • Identify new opportunities and technologies for geophysical data collection • Create 2D and 3D geologic predictions and identify exploration targets • Design field programs, collect data, reduce uncertainty, and guide subsequent field work • Design, develop, and deploy mineral exploration data collection instruments and methods • Develop proprietary software exploration tools • Find, curate, and integrate geospectral, geophysical, geochemical, geologic, and geographic data • Create visualizations for model evaluation and interaction with underlying data • Apply data processing, statistical, physics-based, computer vision, and geophysical inversion techniques • Present to and collaborate with external partners and stakeholders • Implement spatially aware clustering, anomaly detection, and other rigorous analysis methods • Collaborate on algorithms combining large and complex datasets for mineral exploration

🎯 Requirements

• 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 • Successful track record of developing complex equipment with cross-disciplinary teams and vendors • Extensive experience with physical measurement and data analysis systems using optics, electromagnetism, radiation, and gravity • Experience applying scientific knowledge to identify and prototype emerging technologies • Experience with systems integration and data acquisition • Extensive experience with Python’s data science packages and general software engineering practices • Experience with collaborative software development using git, unit/integration test suites, and CI/CD pipelines • Experience with SQL and familiarity with non-relational databases • Experience with cloud computing resources • Experience building, applying, evaluating, and interpreting predictive models • Experience with data analysis, physics analysis, and applied statistics on data from physical systems • Capacity to apply ML to mineral exploration, understand geology and mineral exploration practices, and work with limited, disparate, and noisy data sources • Experience deploying sensors in the field • Ability to take ownership of large projects • Ability to work directly with geologists in the field • Ability to explain technical problems to domain experts who are not software developers • Ability to independently prioritize multiple tasks • Must be legally authorized to work in the United States or Canada • 10–20% travel required

🏖️ Benefits

• Equity compensation • Medical insurance • Dental insurance • Vision insurance • 401k retirement plan • Short-term disability insurance • Long-term disability insurance • Life insurance • Paid sick time • Parental leave • Hands-on exposure to exploration projects around the world