Staff Applied Scientist - Metalab

от 19 583 $

≈ от 1,7 млн ₽

🌍 УдалённоMiddleПолная занятость🌐 Глобал

от 19 583 $≈ от 1,7 млн ₽

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Наша компания

The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers. KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. Since our founding in 2018, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists. KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi.

Чем предстоит заниматься

In this role, you will develop state of the art instruments to collect data to guide our 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 our 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. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will be creating models and developing software to accelerate discovery of critical battery metals

You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will identify new opportunities and technologies for geophysical data collection, create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work

Ultimately, your role is to help KoBold make valuable discoveries by building and deploying next generation hardware and using data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up

Design, develop, and deploy new mineral exploration data collection instruments and methods

Help develop KoBold’s proprietary software exploration tools

Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system

Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust

Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features

Develop 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 decisions

Present to and collaborate with our external partners and stakeholders

Push the state of the art in analysis capabilities by implementing statistically rigorous spatially aware clustering, anomaly detection, and other analysis methods

Collaborate with data scientists, geoscientists and engineers to invent and deploy algorithms that combine large and complex data sets for mineral exploration and discoveries

Наши требования

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

Physical measurement and data analysis systems that use phenomena such as optics, electromagnetism, radiation, and gravity

Applying scientific knowledge to identify and prototype emerging technologies

Systems integration and data acquisition

Python’s data science packages and general software engineering practices

Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines

SQL, as well as familiarity with non-relational databases

Cloud computing resources

Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results

Data analysis, physics analysis, and applied statistics on a broad range of types of data including data from physical systems

Capacity 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 sources

Experience deploying sensors in the field

Ability to take ownership and responsibility of large projects

Intellectual 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 innovations

Ability 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 company

Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities

Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company

Ability to independently prioritize multiple tasks effectively

Remote sensing

Creating machine learning models on geospatial data

Image processing or computer vision

Project and team management

What to Expect

Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field

This position is Full-time Exempt

Location: Remote, Candidates can be located anywhere in the United States or Canada. All candidates must be legally authorized to work in the United States or Canada. 10-20% travel required

Дополнительно

Salary is one part of KoBold’s total compensation. The US salary range for this role is between $125,000 and $235,000, and will depend on your skills, qualifications, experience, and location. In addition to salary, we offer equity compensation. We also offer benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer paid sick time and parental leave."