[Remote] Applied Scientist

Note: The job is a remote job and is open to candidates in USA. KoBold Metals is a pioneering company in the mineral exploration sector, utilizing AI models to enhance exploration technology. The Applied Scientist role involves developing innovative instruments and models to guide mineral exploration efforts, collaborating closely with geoscientists to make valuable discoveries.ResponsibilitiesDesign, develop, and deploy new mineral exploration data collection instruments and methodsHelp develop KoBold’s proprietary software exploration toolsFind and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data systemBuild models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crustCreate effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key featuresDevelop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisionsPresent to and collaborate with our external partners and stakeholdersPush the state of the art in analysis capabilities by implementing statistically rigorous spatially aware clustering, anomaly detection, and other analysis methodsCollaborate with data scientists, geoscientists and engineers to invent and deploy algorithms that combine large and complex data sets for mineral exploration and discoveriesSkillsDemonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional settingExceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologiesA successful track record of developing complex equipment with cross-disciplinary teams and vendorsTechnical skills, including extensive experience with: Physical measurement and data analysis systems that use phenomena such as optics, electromagnetism, radiation, and gravityApplying scientific knowledge to identify and prototype emerging technologiesSystems integration and data acquisitionPython's data science packages and general software engineering practicesCollaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelinesSQL, as well as familiarity with non-relational databasesCloud computing resourcesBuilding a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the resultsData analysis, physics analysis, and applied statistics on a broad range of types of data including data from physical systemsCapacity to dive deep on novel challenging problems in applying ML to mineral exploration, including understanding a complex domain of geology and mineral exploration practices as well as working with limited, disparate and noisy data sourcesExperience deploying sensors in the fieldAbility to take ownership and responsibility of large projectsIntellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovationsAbility to explain technical problems to and collaborate on solutions with domain experts who aren't software developers. A strong communicator who enjoys working with colleagues across the companyExcitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilitiesKeen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the companyAbility to independently prioritize multiple tasks effectivelyRemote sensingCreating machine learning models on geospatial dataImage processing or computer visionProject and team managementBenefitsEquity compensationMedical, dental, and vision insuranceA 401k retirement planShort & long term disability and life insurancePaid sick timeParental leaveCompany OverviewKoBold Metals is an AI-powered critical mineral startup that discovers essential materials for electric vehicles and renewable energy. It was founded in 2018, and is headquartered in Berkeley, California, USA, with a workforce of 51-200 employees. Its website is https://www.koboldmetals.com.