<h3>Scientist</h3>KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methodsKoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.We are hiring a Scientist to help accelerate our mission.About the positionIn this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to transform remote sensing data, including multi- and hyper-spectral, into actionable insights that guide our exploration programs. You will further develop KoBold’s in-house remote sensing instrumentation and develop modeling tools to optimize further data collection efforts. You will be creating insights that 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 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 analysis techniques to solve scientific problems. ResponsibilitiesThe Scientist will:<ul><li>Apply state-of-the-art analysis techniques to multi- and hyper-spectral remote sensing data</li><li>Model and simulate remote sensing instruments to improve data collection and guide development of future instruments</li><li>Help develop KoBold’s proprietary software exploration tools.</li><li>Find and curate open source remote sensing data and integrate it into KoBold’s proprietary data system.</li><li>Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.</li><li>Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.</li><li>Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data, including both reflectance and emissivity spectroscopy, and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.</li><li>Present to and collaborate with our external partners and stakeholders.</li></ul>QualificationsA great Scientist candidate will have:<ul><li>A successful track record of working with remote sensing instrumentation, especially reflectance and emissivity spectroscopy, and developing and deploying state-of-the-art spectral analysis techniques.</li></ul>Technical skills, including extensive experience with:<ul><li>Physical measurement and data analysis systems. </li><li>Applying scientific knowledge to identify and prototype emerging technologies</li><li>Systems integration and data acquisition.</li><li>Python’s data science packages and general software engineering practices.</li><li>Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.</li><li>Using cloud computing resources to perform scientific analysis at scale</li><li>Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results.</li><li>Working with a broad range of types of data including data from physical systems.</li><li>Geospatial analyses and visualizations.</li></ul>Technical knowledge:<ul><li>Atmospheric corrections for remote sensing data</li><li>Broad skills in and knowledge of data analysis, physics, and applied statistics.</li></ul>Training and work experience:<ul><li>An advanced degree in the physical sciences, engineering, computer science, or mathematics.</li><li>Post-degree work experience as a scientist or engineer.</li></ul>Work practices and motivation:<ul><li>Ability to take ownership and responsibility of large projects.</li><li>Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul>It is also helpful but not required to have experience with:<ul><li>Image processing or computer vision</li><li>Geophysical data, instrumentation, and inverse problems</li><li>Project and team management</li></ul>KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunities for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, marital status, disability, or veteran status.The US base salary range for this full-time exempt position is $140,000-$200,000.Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States or Canada

AI-powered KoBold Metals® is revolutionizing electrification and combatting climate change with breakthrough discoveries and top-tier industry talent.

Scientist

<h3>Staff Data Scientist</h3>KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methodsKoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.We are hiring a Principal Data Scientist to help accelerate our mission.About the positionIn this role, you will build predictive 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 create models and develop 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 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 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.ResponsibilitiesThe Principal Data Scientist will:<ul><li>Help develop KoBold’s proprietary software exploration tools.</li><li>Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.</li><li>Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.</li><li>Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.</li><li>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.</li><li>Present to and collaborate with our external partners and stakeholders.</li></ul>QualificationsA great Principal  Data Scientist candidate will have:Technical skills, including extensive experience with:<ul><li>Python’s data science packages and general software engineering practices.</li><li>Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.</li><li>SQL, as well as familiarity with non-relational databases.</li><li>Cloud computing resources.</li><li>Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results.</li><li>Working with a broad range of types of data including data from physical systems.</li><li>Geospatial analyses and visualizations.</li></ul>Technical knowledge:<ul><li>Broad skills in and knowledge of applied statistics</li><li>Substantial understanding of Machine Learning algorithms</li></ul>Training and work experience:<ul><li>An advanced degree in the physical sciences, engineering, computer science, or mathematics.</li><li>10 years of post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Data Scientist, Senior Data Scientist, or Staff Data Scientist levels, with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive.</li></ul>Work practices and motivation:<ul><li>Ability to take ownership and responsibility of large projects.</li><li>Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul>It is also helpful but not required to have experience with:<ul><li>Creating machine learning models on geospatial data</li><li>Geostatistics</li><li>Image processing or computer vision</li><li>Distributed computing applications for machine learning and other computations</li><li>Containerization solutions</li></ul>KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, national origin, age, citizenship, marital status, disability, or veteran status. The US base salary range for this full-time exempt position is $225,000 - $265,000.

Principal Data Scientist

<h3>Staff Data Scientist</h3>KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methodsKoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.We are hiring a Staff Data Scientist to help accelerate our mission.About the positionIn this role, you will build predictive 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 create models and develop 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 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 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.ResponsibilitiesThe Staff Data Scientist will:<ul><li>Help develop KoBold’s proprietary software exploration tools.</li><li>Find and curate  geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.</li><li>Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.</li><li>Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.</li><li>Develop and apply 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.</li><li>Present to and collaborate with our external partners and stakeholders.</li></ul>QualificationsA great Staff Data Scientist candidate will have:Technical skills, including extensive experience with:<ul><li>Python’s data science packages and general software engineering practices.</li><li>Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.</li><li>Cloud computing resources.</li><li>Building predictive models, applying them to different problems, and evaluating and interpreting the results.</li><li>Data from a variety of physical systems.</li><li>Geospatial analyses and visualizations.</li></ul>Technical knowledge:<ul><li>Broad skills in and knowledge of applied statistics and Bayesian inference</li><li>Substantial understanding of machine learning algorithms</li></ul>Training and work experience:<ul><li>An advanced degree in the physical sciences, engineering, computer science, or mathematics.</li><li>A minimum of 6 years post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Senior Data Scientist, Staff Data Scientist, and Principal Data Scientist with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive.</li><li>Experience leading technical teams to apply novel scientific approaches to core business problems </li></ul>Work practices and motivation:<ul><li>Ability to design, scope and implement technical solutions to novel exploration problems </li><li>Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul>It is also helpful but not required to have experience with:<ul><li>Creating machine learning models on geospatial data</li><li>Geostatistics</li><li>Image processing or computer vision</li><li>Distributed computing applications for machine learning and other computations</li></ul>KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.The US base salary range for this full-time exempt position is $175,000-$275,000.Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States for Canada

Staff Data Scientist

KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methodsKoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.We are hiring a Senior Decision Scientist to help accelerate our mission.About the positionIn this role, you will work to create intelligent systems to guide mineral exploration decisions. You will develop probabilistic models of subsurface geology that fuse domain expert knowledge and quantitative data from geophysical, geochemical, and other measurements. You will design filters to robustly update models of geological uncertainty with new data. You will build intelligent agents to recommend exploration strategies to optimally reduce uncertainty about prospective targets. You will work with geoscientists to build understanding of the quantitive methods and their recommendations. The systems you implement will be used 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 rigorously define and quantitatively model geological hypotheses, create simulations of exploration programs, and ultimately design field programs to collect new data that will best reduce uncertainty over critical prospect parameters.Ultimately, your role is to help KoBold make valuable discoveries by quantitatively deciding how to best use exploration time and resources to quickly understand mineral prospects. As one of the early members of this team, you will help build these tools from the ground up.ResponsibilitiesThe Senior Decision Scientist will:<ul><li>Help develop KoBold’s proprietary software exploration tools.</li><li>Collaborate with geoscientists to create quantitative models of geological systems.</li><li>Create generative models of geological systems for specific prospects using Monte Carlo and other statistical methods.</li><li>Develop Bayesian filters to rigorously track uncertainty throughout exploration data gathering.</li><li>Implement intelligent agents using methods such as Monte Carlo tree search and reinforcement learning to guide data-gathering and other exploration activities.</li><li>Create visualizations to communicate results and build understanding in the exploration team.</li><li>Present to and collaborate with our external partners and stakeholders.</li></ul> QualificationsA great Senior Data Scientist candidate will have:Technical skills, including extensive experience with:<ul><li>Python’s data science packages and general software engineering practices.</li><li>Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.</li><li>Applied Bayesian statistics including non-parametric models, such as particle filters, Markov chain Monte Carlo sampling, and other methods of statistical inference.</li><li>PyTorch, Tensorflow, or other deep learning and probabilistic programming modules.</li><li>Modeling partially observable Markov decision processes and constrained optimization problems.</li><li>Optimizers for sequential decision problems, including Monte Carlo tree search and reinforcement learning.</li><li> </li></ul>Technical knowledge:<ul><li>Broad skills in and knowledge of applied statistics, especially Bayesian statistics.</li><li>Understanding of classical and deep machine learning algorithms.</li><li>Knowledge about autonomous system design and high-level intelligent behavior automation.</li></ul> Training and work experience:<ul><li>An advanced degree in the physical sciences, computer science, mathematics, or engineering. Preference is for academic work with a computational focus.</li><li>Post-degree work experience as an autonomy or AI engineer or research scientist. KoBold is willing to consider candidates at the Decision Scientist, Senior Decision Scientist, or Staff Decision Scientist levels, with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive.</li></ul> Work practices and motivation:<ul><li>Ability to take ownership and responsibility of large projects.</li><li>Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul> It is also helpful, but not required, to have experience with:<ul><li>Geostatistics.</li><li>Deep generative/probabilistic models.</li><li>Distributed computing applications for machine learning and other computations</li><li>Collaborative, multi-agent systems optimization.</li></ul> KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.The US base salary range for this full-time exempt position is $140,000-$250,000.Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States for Canada

Senior Decision Scientist

<h3>Senior Data Scientist</h3>KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methodsKoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.We are hiring a Senior Data Scientist to help accelerate our mission.About the positionIn this role, you will build predictive 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 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 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.ResponsibilitiesThe Senior Data Scientist will:<ul><li>Help develop KoBold’s proprietary software exploration tools.</li><li>Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.</li><li>Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.</li><li>Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.</li><li>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.</li><li>Present to and collaborate with our external partners and stakeholders.</li></ul>QualificationsA great Senior Data Scientist candidate will have:Technical skills, including extensive experience with:<ul><li>Python’s data science packages and general software engineering practices.</li><li>Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.</li><li>SQL, as well as familiarity with non-relational databases.</li><li>Cloud computing resources.</li><li>Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results.</li><li>Working with a broad range of types of data including data from physical systems.</li><li>Geospatial analyses and visualizations.</li></ul>Technical knowledge:<ul><li>Broad skills in and knowledge of applied statistics</li><li>Substantial understanding of Machine Learning algorithms</li></ul>Training and work experience:<ul><li>An advanced degree in the physical sciences, engineering, computer science, or mathematics.</li><li>Post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Data Scientist, Senior Data Scientist, or Staff Data Scientist levels, with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive.</li></ul>Work practices and motivation:<ul><li>Ability to take ownership and responsibility of large projects.</li><li>Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul>It is also helpful but not required to have experience with:<ul><li>Creating machine learning models on geospatial data</li><li>Geostatistics</li><li>Image processing or computer vision</li><li>Distributed computing applications for machine learning and other computations</li><li>Containerization solutions</li></ul>KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.The US base salary range for this full-time exempt position is $140,000-$210,000.Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in Australia

Senior Data Scientist, Australia

<h3>Senior Data Scientist</h3>KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methodsKoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.We are hiring a Senior Data Scientist to help accelerate our mission.About the positionIn this role, you will build predictive 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 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 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.ResponsibilitiesThe Senior Data Scientist will:<ul><li>Help develop KoBold’s proprietary software exploration tools.</li><li>Find and curate  geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.</li><li>Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.</li><li>Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.</li><li>Develop and apply 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.</li><li>Present to and collaborate with our external partners and stakeholders.</li></ul>QualificationsA great Senior Data Scientist candidate will have:Technical skills, including extensive experience with:<ul><li>Python’s data science packages and general software engineering practices.</li><li>Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.</li><li>Building, evaluating, and interpreting predictive models</li><li>Data from a variety of physical systems.</li></ul>Technical knowledge:<ul><li>Broad skills in and knowledge of applied statistics</li><li>Substantial understanding of machine learning algorithms</li></ul>Training and work experience:<ul><li>An advanced degree in the physical sciences, engineering, computer science, or mathematics.</li><li>4 years of post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Data Scientist, Senior Data Scientist, or Staff Data Scientist levels, with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive.</li></ul>Work practices and motivation:<ul><li>Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul>It is also helpful but not required to have experience with:<ul><li>Creating machine learning models on geospatial data</li><li>Geostatistics</li><li>Image processing or computer vision</li><li>Distributed computing applications for machine learning and other computations</li></ul>KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.The US base salary range for this full-time exempt position is $140,000-$220,000.Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States for Canada

Senior Data Scientist

KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methodsKoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.About the position:At KoBold we believe that a modern ML stack will enable systematic mineral exploration and materially improve the success rate. This role is a key ingredient to this strategy. As a member of our software engineering team, you will apply software engineering and machine learning to large remote-sensing datasets in order to build scalable ML systems to help make high-speed, high-quality decisions for our mineral exploration projects. Collaborating with our exceptional team of data scientists and geologists, you will tackle complex scientific problems head-on and collectively pave the way for discoveries of vital energy transition metals like lithium, copper, nickel, and cobalt. Together we can shape the future of mineral exploration and contribute to building a sustainable world.Responsibilities of this role include:<ul><li>Architect, implement, and maintain foundational scientific computing libraries for distributed processing of large-scale geospatial rasters, to be used in Kobold’s mineral exploration analyses.</li><li>In collaboration with other engineers, build tooling to increase the velocity of our machine learning progress on geospatial raster data, including enabling rapid prototyping in Jupyter notebooks; build experimentation, evaluation, and simulation frameworks; turning successful R&amp;D into robust, scalable ML pipelines; and organizing models and their outputs for repeatability and discoverability.</li><li>In collaboration with data scientists, build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.</li><li>Apply–and coach team members to use–engineering best practices such as writing robust, testable and composable code</li><li>Collaborate with data scientists, geoscientists and engineers to invent the modern scientific computing stack for mineral exploration</li></ul>QualificationsOur ideal candidate will have:<ul><li>At least 5 years of experience as a software engineer, data scientist or ML engineer, though most great candidates will have closer to 10. Recent bachelor’s/master’s candidates are unlikely to be competitive.</li><li>Track record of building production quality data processing solutions or tooling that have delivered business value</li><li>Proficiency with foundational concepts of ML, including statistical, traditional and deep-learning approaches</li><li>Proficiency in Python, ideally including array-based packages such as xarray and numpy</li><li>Proficiency in scaling complex data operations across distributed computing resources, using tools such as Spark or Dask</li><li>Drive to increase the velocity and effectiveness of our data scientists in both experimental and production workflows </li><li>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 </li><li>Collaborative attitude to work with stakeholders with different backgrounds (data scientists, geoscientists, software engineers, operations)</li><li>Experience with multispectral remote-sensing data from a variety of sources</li></ul>Work practices and motivation:<ul><li>Ability to take ownership and responsibility of large projects.</li><li>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.</li><li>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.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>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.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul> KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, marital status, disability, or veteran status.The US base salary range for this full-time exempt position is $190,000-$260,000.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. <h3> </h3><h3> </h3>

Staff ML Engineer, Remote Sensing

<h3>Exploration Geologist</h3>KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methodsKoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.About the positionIn this role, you will lead evaluations of potential properties for acquisition, generate targets, and design and oversee field programs from target definition through to resource expansion. You will be part of a multidisciplinary team and will work closely with data scientists, using KoBold’s technology to help guide our field programs and decision-making. You will also work directly with our senior technical advisors and with the executive team on making the investment case for acquisitions and field programs.Ultimately, your role is to help KoBold make valuable discoveries by identifying opportunities with rigorous evaluation and by ensuring that we safely and effectively conduct our field programs.Responsibilities<ul><li>Demonstrate in all activities a commitment to the highest standards in health and safety, environment, and community relations</li><li>Rigorously analyze geoscientific datasets across a range of scales from provinces to prospects to determine exploration potential and to identify, rank, and prioritize exploration targets</li><li>Design, budget, permit, and execute field programs ranging from geological mapping and sampling of grass roots prospects through to large drilling programs on advanced projects, with leading industry practice in data acquisition and validation</li><li>Provide technical guidance and support to local in-country project teams during the design and execution of exploration programs, including site visits and engagement with other project stakeholders (e.g., community representatives, regulatory authorities, and joint venture partners)</li><li>Work collaboratively with data scientist colleagues to conceive and implement insightful analytical methods</li></ul>QualificationsA great Senior Exploration Geologist candidate will have:<ul><li>Strong technical knowledge of one or more ore deposit types. Experience working on sediment-hosted stratiform copper or magmatic sulfide deposits will be considered an advantage</li><li>Excellence in generative analysis ranging from new concepts to integration, interpretation, and modeling of large datasets</li><li>Good field skills and experience conducting field programs across a range of project stages from grassroots prospects through to advanced projects with significant drilling campaigns</li><li>Baseline level of proficiency in standard desktop software packages (e.g., ArcGIS or QGIS)</li><li>Strong leadership skills including the ability to motivate and inspire others, to share ownership and responsibility for project outcomes, and to work effectively in collaborative, interdisciplinary teams</li><li>Previous experience in coaching and training geoscientists of varying experience, educational backgrounds and cultures in leading-practice mineral exploration</li><li>Demonstrated commitment to high standards of health and safety in the workplace</li><li>A minimum of 10 years experience in the mineral exploration industry</li><li>B.Sc. degree in geology or related geoscience field</li></ul>It is helpful but not required to have:<ul><li>A Ph.D. or M.Sc. degree</li><li>Working knowledge of one programming or scripting language (e.g., Python, R, C/C++)</li><li>Knowledge of geostatistics and/or other statistical methods relevant for analysis of geoscientific data</li><li>International experience, particularly in the Central African Copperbelt</li></ul>Note: Candidates who are specialists in geochemistry or geophysics but open to doing significant project work are encouraged to apply.KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.The US base salary range for this full-time exempt position is $110,000-$170,000.Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States or Canada

Senior Exploration Geologist

<h3>Exploration Geologist</h3>KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methodsKoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.About the positionIn this role, you will lead evaluations of potential properties for acquisition, generate targets, and design and oversee field programs from target definition through to resource expansion. You will be part of a multidisciplinary team and will work closely with data scientists, using KoBold’s technology to help guide our field programs and decision-making. You will also work directly with our senior technical advisors and with the executive team on making the investment case for acquisitions and field programs.Ultimately, your role is to help KoBold make valuable discoveries by identifying opportunities with rigorous evaluation and by ensuring that we safely and effectively conduct our field programs.Responsibilities<ul><li>Demonstrate in all activities a commitment to the highest standards in health and safety, environment, and community relations</li><li>Rigorously analyze geoscientific datasets across a range of scales from provinces to prospects to determine exploration potential and to identify, rank, and prioritize exploration targets</li><li>Design, budget, permit, and execute field programs ranging from geological mapping and sampling of grass roots prospects through to large drilling programs on advanced projects, with leading industry practice in data acquisition and validation</li><li>Provide technical guidance and support to local in-country project teams during the design and execution of exploration programs, including site visits and engagement with other project stakeholders (e.g., community representatives, regulatory authorities, and joint venture partners)</li><li>Work collaboratively with data scientist colleagues to conceive and implement insightful analytical methods</li></ul>QualificationsA great Exploration Geologist candidate will have:<ul><li>Strong technical knowledge of one or more ore deposit types. Experience working on sediment-hosted stratiform copper or magmatic sulfide deposits will be considered an advantage</li><li>Excellence in generative analysis ranging from new concepts to integration, interpretation, and modeling of large datasets</li><li>Good field skills and experience conducting field programs across a range of project stages from grassroots prospects through to advanced projects with significant drilling campaigns</li><li>Baseline level of proficiency in standard desktop software packages (e.g., ArcGIS or QGIS)</li><li>Strong leadership skills including the ability to motivate and inspire others, to share ownership and responsibility for project outcomes, and to work effectively in collaborative, interdisciplinary teams</li><li>Previous experience in coaching and training geoscientists of varying experience, educational backgrounds and cultures in leading-practice mineral exploration</li><li>Demonstrated commitment to high standards of health and safety in the workplace</li><li>A minimum of 3-7 years experience in the mineral exploration industry</li><li>B.Sc. degree in geology or related geoscience field</li></ul>It is helpful but not required to have:<ul><li>A Ph.D. or M.Sc. degree</li><li>Working knowledge of one programming or scripting language (e.g., Python, R, C/C++)</li><li>Knowledge of geostatistics and/or other statistical methods relevant for analysis of geoscientific data</li><li>International experience, particularly in the Central African Copperbelt</li></ul>Note: Candidates who are specialists in geochemistry or geophysics but open to doing significant project work are encouraged to apply.KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.The US base salary range for this full-time exempt position is $70,000-$110,000.Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States for Canada

Exploration Geologist

KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methodsKoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.About the position:At KoBold we believe that a modern ML stack will enable systematic mineral exploration and materially improve the success rate. This role is a key ingredient to this strategy. As a member of our software engineering team, you will apply software engineering and machine learning to large remote-sensing datasets in order to build scalable ML systems to help make high-speed, high-quality decisions for our mineral exploration projects. Collaborating with our exceptional team of data scientists and geologists, you will tackle complex scientific problems head-on and collectively pave the way for discoveries of vital energy transition metals like lithium, copper, nickel, and cobalt. Together we can shape the future of mineral exploration and contribute to building a sustainable world.Responsibilities of this role include:<ul><li>Architect, implement, and maintain foundational scientific computing libraries that will be used in Kobold’s mineral exploration analyses.</li><li>In collaboration with other engineers, build ML tooling to increase the velocity of our machine learning progress, including enabling rapid prototyping in Jupyter notebooks; building experimentation, evaluation, and simulation frameworks; turning successful R&amp;D into robust, scalable ML pipelines; and organizing models and their outputs for repeatability and discoverability.</li><li>In collaboration with data scientists, build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.</li><li>Apply–and coach team members to use–engineering best practices such as writing testable and composable code</li><li>Collaborate with data scientists, geoscientists and engineers to invent the modern scientific computing stack for mineral exploration</li></ul>QualificationsOur ideal candidate will have:<ul><li>At least 5 years of experience as a software engineer, data scientist or ML engineer, though most great candidates will have closer to 10. Recent bachelor’s/master’s candidates are unlikely to be competitive.</li><li>Track record of building production ML solutions or tooling that have delivered business value</li><li>Proficiency with foundational concepts of ML</li><li>Proficiency in Python, ideally including array-based packages such as xarray and numpy</li><li>Proficiency in a variety of parallel computing patterns, for example using distributed computing frameworks such as Dask</li><li>Flexibility to engage with data scientists and increase their productivity for both experimental and production workflows </li><li>An open-mind and curious attitude to learn and embrace the unique challenges of applying machine learning to mineral exploration, such as limited groundtruth data, complex quality metric design, and difficulties to create generalizable models</li><li>Collaborative attitude to work with stakeholders with different backgrounds (data scientists, geoscientists, software engineers, operations)</li></ul>Work practices and motivation:<ul><li>Ability to take ownership and responsibility of large projects.</li><li>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.</li><li>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.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>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.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul> KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, marital status, disability, or veteran status.The US base salary range for this full-time exempt position is $190,000-$250,000.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.<h3> </h3><h3> </h3>

Staff ML Engineer

Passionate about tech, AI and climate action? Join Kayrros, as Junior Data Scientist - (Internship) Founded in 2016, Kayrros is a global climate technology company and a world leader in environmental intelligence. Kayrros use satellite imagery, AI, and geo-analytics to help governments, investors and businesses understand the risks posed by the changing climate and energy landscapes and make more informed decisions.Kayrros has recently been named one of the world’s 100 Most Influential Companies by TIME, included on Fortune's annual Change the World and is a winner of the FT Tech Champions 2022.Kayrros has offices in Paris, Houston, New York, London, Bangalore and Singapore. For more information visit <a href="http://www.kayrros.com/">www.kayrros.com</a> Kayrros is building a team of talented people to positively disrupt the world’s climate governance and reshape the future of energy and the environment. Join us to make a difference! We are currently recruiting for our Paris office, an InternJunior Data Scientist H/F The team you will be joining: Nature solution teamThe Nature team helps regulators, investors, governments get insights into physical and environmental risks across the world. Building on Kayrros' satellite processing abilities, the Nature team develops large-scale solutions for tasks such as biomass estimation, species recognition, deforestation quantification, physical and environmental risk modeling and mapping. Role:Data scientists play a key role at Kayrros, working both on R&amp;D discovery topics and specific projects for customers. Most of their work consists of developing models using various methods based on recent scientific papers including computer vision, machine and deep learning, and signal processing. They also collaborate with data engineers to build robust pipelines and work hand in hand with data analysts to analyze and visualize the results of their models.They face two main challenges: <ul><li>The diversity and complexity of data available. Kayrros has a strong expertise in remote sensing and has been working with data from many different sensors (multispectral, hyperspectral, SAR, LIDAR, geostationary). Understanding the specificities of each technology and choosing the most appropriate for a given problem is therefore a crucial step.</li></ul><ul><li>Kayrros is building knowledge around climate modeling and risk scenarii. </li></ul>As a data scientist, you will therefore have to:<ul><li>Formulate problems considering available data and project constraints.</li></ul><ul><li>Explore and review existing approaches or relevant associated scientific literature.</li></ul><ul><li>Design, implement and test algorithms.</li></ul><ul><li>Continuously provide ideas to improve products and take part in all team discussions.</li></ul><ul><li>Grow a culture around remote sensing data.</li></ul>Profile :This is an ideal opportunity if you are looking for a six-month internship starting between May and July 2024, and you want to join an impactful company.<ul><li>You have a strong background and are passionate about image processing, machine learning, statistics, operations research. You are very interested in various topics including deep learning, time series analysis, computer vision, signal processing. You demonstrate experience in a least one of these areas</li></ul><ul><li>You have strong programming skills in Python, SQL, Machine Learning libraries, data visualization packages and data manipulation. Previous exposures to GitHub and R programming preferred, or additional languages like Julia</li></ul><ul><li>You are dynamic, curious and eager to learn about the questions underlying methane emissions monitoring and biomass.</li></ul><ul><li>You can design and deliver working prototypes in a fast-paced environment and then put them into production with the help of data engineers</li></ul><ul><li>You can communicate clearly in English, including with non-technical people</li></ul><ul><li>You are willing to be an active member of the team and have a real impact to the company success</li></ul>We encourage all qualified candidates, eager to learn and grow, to apply, even if they do not meet all of the requirements listed above. Why join Kayrros?<ul><li>We are a young, fast-growing tech company and are extremely passionate about what we do.</li></ul><ul><li>We are located in the WeWork building on Rue la Fayette, 75009 (free drinks, events and a vibrant atmosphere).</li></ul><ul><li>You will work with an international team and practice your English (or Chinese, German, Greek, Portuguese...) on a day to day basis.</li></ul>

We are a technology-focused earth observation analytics firm using unconventional data to bring new insights to the world’s biggest industries. By harnessing the power of satellite imagery, natural language processing, machine learning and advanced mathematics, we deliver actionable intelligence on virtually any asset across the globe, in near real-time, for better decision-making

Junior Data Scientist - Internship

<h2>The Company You’ll Join</h2>Amperon is the leading analytics and forecasting company for the energy transition. Our platform leverages advanced algorithms and machine learning techniques to accurately forecast energy demand on both the supply (power &amp; utilities companies) and demand (large energy users) sides of the market. We incorporate real-time data feeds that help our clients reduce cost, monitor energy efficiency while increasing substantially. We bring the brightest mind from energy, security and technology in order to combat climate changes and transition to clean energy solutions. We have offices in Texas but are a remote first company.<h2>Our Strategy</h2>Amperon operates at the intersection of energy data, AI, and domain expertise to empower the world to navigate the energy transition more effectively. Using best-in-class data ingestion and management infrastructure, coherent AI/ML models, and leading-edge predictive analytics, Amperon provides tools that generate economic and societal value. Amperon seeks to modernize the grid data and AI software stack to improve reliability, optimize asset economics, and accelerate decarbonization for grid operators, asset owners, and end-users. We're building the next generation of market-leading energy analytics and forecasting products, and we want you to be part of our journey!<h2>The team you’ll work with</h2>We use machine learning and data analytics to analyze large volumes of data, uncover patterns, and make predictions that can be invaluable in the energy sector. Our team manages deep and valuable data around energy supply and demand that can lead to more efficient and sustainable energy systems. We are a small growing team with the opportunity to build high velocity machine learning from scratch.<h2>The Impact</h2>We have direct impact to help optimize energy distribution, predict demand fluctuations, and identify energy-saving opportunities. We build analytical tools that can process vast amounts of data collected from various sources within the energy grid. We work with cross functional teams around new product development including international expansions. <h2>The problems you’ll solve </h2><ul><li>Implement data validation and cleaning processes to identify and rectify errors or inconsistencies in the incoming data.</li><li>Build advanced time series forecasting models at scale.</li><li>Create relevant features that can improve forecasting accuracy, such as lag features, rolling statistics, and domain-specific variables.</li><li>Continuously monitor the training process and evaluate model performance on the validation set.</li><li>Deploying well-performing models into a production environment.</li><li>Analyzing historical data and real-time information to determine changes in energy consumption.</li></ul><h2>You may be a fit for this role if</h2>You have senior expertise with building machine learning algorithms. You have extensive experience with data collection and data processing. Experience with techniques like data cleaning, normalization, and feature engineering to prepare the data for modeling. Experience with time series analysis and predictive modeling. Experience with Python and other modeling tools. <h2>Benefits &amp; Perks</h2>While we are serious about our company's culture, we aren't going to force "culture" to prove that we are cool and fun. It’s a company filled with smart, genuinely nice individuals who are passionate about data science, energy and working together to build a product that can have a lasting impact on our planet.Even though we are a remote company with employees spread across the globe, we still believe human interaction is a good thing. We will also have an all-company event at least once a year so people can get to know each other in a more fun and social way.<ul><li>Competitive salary plus stock option package. Compensation based on geographical location.</li><li>Medical, dental and vision insurance</li><li>Family planning benefits through Carrot which includes IVF plus preservation treatments, adoption and gender affirming care.</li><li>Access to mental health services</li><li>Annual company retreat</li><li>Pre-tax commuter benefits plus CitiBike annual subscription.</li><li>Work from home budget</li><li>401k</li><li>Learning and development opportunities</li><li>Flexible PTO policy</li><li>Remote</li></ul>If you are excited about contributing to a product that can have a lasting impact on our planet and you thrive in fast-paced, innovative environments, we would love to hear from you.

Revolutionizing energy monitoring with real-time data forecasts, Amperon brings AI to the smart grid of the future.

Senior Data Scientist (PHD)

<div>StreetLight pioneered the use of Big Data analytics to shed light on how people, goods, and services move, empowering smarter, data-driven transportation decisions. The company applies proprietary machine-learning algorithms and data processing resources to measure travel patterns of vehicles, bicycles and pedestrians that enable complex transportation problem solving using analytics available on SaaS platform, StreetLight InSight®. Acquired by Jacobs as a subsidiary in February 2022, StreetLight continues to provide innovative digital solutions to help communities reduce congestion, improve safe and equitable transportation, and maximize the positive impact of infrastructure investment.</div><div> </div><div>StreetLight Data is seeking a creative, versatile, and motivated Senior Data Scientist to be part of our growing team. This team member will lead data science projects to develop exciting new algorithms for our product, as well as help productize those algorithms into our scalable StreetLight InSight® analytics platform.  This position reports to the Director of Data Science.</div><div> </div><div>Location: Remote within the United States with a preference of West Coast (Pacific time)</div><div> </div><div>What You'll Do: </div><div>●       Design algorithms to infer key transportation patterns from various data sources</div><div>●       Research and implement suitable strategies (e.g. regression models, ML models, etc.) for solving data science problems</div><div>●       Find and build real-world data sets for training various models and doing quality checks</div><div>●       Productize data science algorithms within the StreetLight InSight® platform, in collaboration with the Application Engineering team</div><div>●       Create visualizations and dashboards to help tell stories with data</div><div>●       Define and implement customized and/or cutting-edge solutions for customers</div><div> </div><div>What You'll Need: </div><div>●       BS/MS in Mathematics, Computer Science or an Engineering discipline from a top university.  Alternatively, a PhD focused on quantitative research and discovering insights from data is acceptable in lieu of a BS/MS plus experience.</div><div>●       3-5 years of experience in data science and/or statistics using a coding language (Python strongly preferred)</div><div>●       2+ years of experience in SQL and relational databases (BigQuery or PostgreSQL preferred), and good understanding of relational concepts</div><div>●       Strong understanding of techniques in data science (machine learning algorithms, regression analysis, etc.)</div><div>●       Strong data analysis skills, knowing what can/cannot be possible, and ability to visualize data in the best way possible</div><div>●       Good communication skills - written, visual (presentations), and verbal</div><div>●       Ability to deliver adequate results on deadline, and make compromises to enable scalability and productization of algorithms</div><div>●       Quick learner, and a strong team player</div><div> </div><div>Preferred:</div><div>●       Geo-spatial skills are a plus.</div><div>●       Knowledge of transportation data / industry is a plus.</div><div> </div><div>Jacobs’ health and welfare benefits are designed to invest in you and in the things you care about. Your health. Your well-being. Your security. Your future. Eligible employees and their dependents may elect medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan, and, if eligible, a deferred compensation plan and Executive Deferral Plan. Employees will also receive 17 days of vacation per year, seven paid holidays, plus floating holidays and caregiver leave. Hired applicants will be able to purchase company stock and have the opportunity to receive a performance discretionary bonus.</div><div> </div><div>The base salary range for this position is $130-155k USD. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.</div> <div>StreetLight Data is an equal opportunity/affirmative action employer. StreetLight provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</div>

Unlocking Smarter Transportation: StreetLight combines Big Data and machine learning to revolutionize transportation decision-making and drive positive change.

Senior Data Scientist (analytics) - REMOTE

<div>Commonwealth Fusion Systems (CFS) has the fastest, lowest cost path to commercial fusion energy.</div><div> </div><div>CFS collaborates with MIT to leverage decades of research combined with groundbreaking new high-temperature superconducting (HTS) magnet technology. HTS magnets will enable compact fusion power plants that can be constructed faster and at lower cost. Our mission is to deploy these power plants to meet global decarbonization goals as fast as possible. To that end, CFS has assembled a team of leaders in tough tech, fusion science, and manufacturing with a track record of rapid execution. Supported by the world’s leading investors, CFS is uniquely positioned to deliver limitless, clean, fusion power to combat climate change. To implement this plan, we are looking to add dedicated people to the team who treat people well, improve our work by adding multifaceted perspectives and new ways of solving problems, have achieved outstanding results through a range of pursuits, and have skills and experience related to this role.</div><div> </div><div>The HTS R&amp;D team at CFS is looking to hire an R&amp;D Engineer to support the ongoing design, engineering, and delivery of the SPARC net energy tokamak being built in Devens, MA. The SPARC tokamak utilizes compact high field magnet technology made possible by recent strides in commercial production of high temperature superconducting materials. The operating conditions and manufacturing processes of high field fusion magnets subject the HTS to extreme environments including high magnetic fields, neutron fluxes produced by deuterium-tritium fusion, high heat loads, and high mechanical loads.  Therefore the successful design and operation of fusion magnets requires detailed knowledge and characterization of the electromagnetic and materials properties of the HTS conductor in similar extremes. The HTS R&amp;D engineer will interface with and support multiple stakeholders across CFS including manufacturing, engineering and design, supply chain, quality, and more. We are seeking an engineer with strong materials science and mechanical engineering fundamentals with previous experience working with putting high temperature superconductors into high field magnets.</div> <h3>This team member will:</h3><ul><li>HTS testing and analysis including</li><li> *Working with HTS testing team to increase the throughput of HTS testing for production tapes</li><li> *Interfacing with the Quality and scientific software teams to improve efficiency of data processing and analysis of HTS measurement results</li><li> *Planning and prioritizing HTS testing for R&amp;D</li><li> *Providing detailed instructions to HTS techs on how to prepare samples for HTS R&amp;D tests, and for analyzing the data</li><li> *Travel to other facilities and performing R&amp;D tests at ultra-high magnetic fields and cryogenic environments</li><li>Interface with the HTS manufacturing and production team regularly and ensure that our processes are compliant with HTS and design requirements</li><li>Design instrumentation setups and experiments for HTS characterization in the relevant conditions required for high field magnets such as, but not limited to, heat treatment studies, radiation-induced effects, and the influence of strain on HTS performance</li><li>Collaborate with design, manufacturing, and testing engineers and provide technical guidance relating to HTS</li><li>Document and report on results of R&amp;D experiments and communicate them to relevant stakeholders</li><li>Work with ARC-design team to refine HTS requirements for ARC</li></ul><h3>The ideal candidate will have most, if not all, of these requirements:</h3><ul><li>Master of Science or higher, or Bachelors degree + equivalent of 5 years of experience in a lab or research setting in one of the following or related fields: Physics, Mechanical or Nuclear Engineering, Materials Science</li><li>3+ years experience in testing Superconductor electromagnetic properties such as transport and magnetization measurements including the data processing and analysis of the results</li><li>Design of Experiments and experimental setups and components</li><li>Experience in communicating with a wide range of technical and non-technical audiences</li><li>Experienced and comfortable working with cryogens such as Liquid Nitrogen and Liquid Helium</li><li>Knowledge of the fundamentals of superconducting materials, particularly high temperature superconductors</li><li>Proficiency with CAD software such as Siemens NX or equivalent</li><li>Excellent problem-solving and troubleshooting skills</li><li>Fundamental Materials Science knowledge</li><li>Knowledge of electromagnetic fundamentals and their application to superconducting  materials</li><li>Good communication skills</li><li>Meticulous attention to detail</li><li>Ability to clearly express and critique ideas</li><li>Ability to work in a fast-paced environment and rapidly execute tasks and experiments</li><li>Strong time management skills</li><li>Ability to collaborate across multiple teams and stakeholders</li></ul><h3>Additional preferred experience and/or qualifications:</h3><ul><li>Experience working with high field magnets</li><li>Experience in preparing and characterizing REBCO using optical and electron microscopy tools</li><li>Experience working with vacuum and cryo-cooled systems</li><li>Experience communicating with technical teams at vendors and suppliers</li><li>1+ years experience working in a production environment</li><li>Experience processing and analyzing large quantities of data and applying statistics</li><li>Experience with programming instrumentation such as power supplies, nano voltmeters, and temperature controllers using LabView software</li><li>Knowledge of fundamental statistical analysis</li><li>Computational modeling with COMSOL or ANSYS</li><li>Proficiency with sample preparation and use of optical and electron microscopes</li><li>Ability to occasionally lift up to 50 lbs</li><li>Perform activities such as typing, stooping, standing, sitting for extended periods of time, may need to operate in small confined places in odd locations</li><li>Dedication to safety to mitigate industrial hazards that may include heat, cold, noise, fumes, strong magnets, lead (Pb), high voltage, and cryogenics</li><li>#LI-Onsite</li></ul> <div>CFS team members thrive in a fast-paced, dynamic environment and have demonstrated exceptional results through a range of different pursuits. We all tightly align with our company values of integrity, execution, impact and self-critique. As we grow, we are looking to add talented people who are mission driven and bring diverse perspectives and new ways of solving problems.</div><div> </div><div>At CFS, we deeply value diversity and are an equal opportunity employer by choice. We consider all qualified applicants equally for employment. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.</div>

Creating a clean, limitless energy future through commercial fusion power - Commonwealth Fusion Systems leads the way with innovation and expertise.

HTS R&D Engineer

Health Safety and Environment LeadKoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methodsKoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.About The Role:This role will provide health and safety program leadership for the company as well as provide direct HSE guidance to field projects . The HSE Lead will have primary responsibility to design, adapt, implement and maintain the company’s health and safety management system.  The HSE Lead will be responsible to understand the HSE compliance requirements in the jurisdictions where the company operates, build and manage the complementary HSE programs, and advise project teams on HSE specific standards and reporting. The HSE Lead will provide coaching and leadership to build HSE capacity and capability within the company, project teams and the contractor workforce.This role will include Reporting to the Field Operations Manager, responsibilities of this position include:<ul><li style="font-weight:400;">Help design and cultivate a behavior-based HSE culture in the company.</li><li style="font-weight:400;">Design, implement and maintain the company HSE Management System. </li><li style="font-weight:400;">Ensure that HSE protection compliant standard work procedures and systems are developed, implemented, understood and monitored.  </li><li style="font-weight:400;">Ensure that incidents are reported, recorded, and translated into system or behavioral improvements.</li><li style="font-weight:400;">Ensure that all team members are adequately trained in HSE standards and requirements to properly complete work.</li><li style="font-weight:400;">Attend safety/toolbox meetings and communicate expectations with a focus of continued improvement of the HSE Management System and to address team member concerns.</li><li style="font-weight:400;">Provide a high level of safety expertise, coaching and leadership to project leaders and contracted work force leaders.</li><li style="font-weight:400;">Lead HSE initiatives and continuous improvement plans, including transparent HSE KPIs and statistics in a dashboard or similar format.</li><li style="font-weight:400;">Develop reports on compliance, improvement, and workforce engagement.</li><li style="font-weight:400;">Participate in operational and major hazard risk assessments and audit activities.</li><li style="font-weight:400;">Lead incident investigation teams and ensure that reporting is completed.</li><li style="font-weight:400;">Travel to remote work sites as required.</li></ul> QualificationsOur ideal candidate will have a minimum of 5 years of recent, related experience including construction, oil and gas or mineral exploration, mining or related field experience, supplemented by a diploma in occupational health and safety or relevant university degree; or equivalent combination of training and experience. You will also have a designation or eligibility as a Canadian Registered Safety Professional (CRSP). Our candidate should be able to demonstrate understanding of HSE issues and risks in mineral exploration and knowledge of health and safety legislation, regulations, policies and practices.In addition to the above, you will have:<ul><li style="font-weight:400;">Considerable experience implementing and supporting safety programs, workplace inspections, audits and incident investigations (using Taproot, ICAM, ICS or similar programs).</li><li style="font-weight:400;">Wilderness first aid certification</li><li style="font-weight:400;">Ability to guide supervisory staff on safety matters through active listening and transparent communication. </li><li style="font-weight:400;">Strong analytical and research skills and a high degree of integrity and professionalism.</li><li style="font-weight:400;">Can facilitate in-house safety training. (WHIMIS, TDG, Bear Aware). </li><li style="font-weight:400;">Sound knowledge and ability to interpret and apply relevant regulations and legislation such as workers compensation, occupational health, emergency response, and environmental protection. </li><li style="font-weight:400;">Ability and availability to travel to remote work sites as required. Multiple trips of a week or more are expected during each calendar year. </li></ul>KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. The US base salary range for this full-time exempt position is $125,000-$165,000. 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.

Health Safety and Environment Lead

<div>Working to solve our climate crisis is the most important mission of our time, and the most exciting problem to be working on. Overstory’s mission is to help solve our climate crisis by providing real-time intelligence about the planet’s vegetation. In our first step toward this mission, we are applying machine learning to satellite imagery to track forests and vegetation. Today, we proudly partner with 40+ leading utilities worldwide, including 4 of the top 10 US utilities, to help reduce wildfire risk and increase grid reliability to prevent power outages.We have already proven our business model and we’re all united behind our ambitious vision to scale up this model to help humanity and the planet. We recently closed a $14 million Series A, led by <a href="https://www.linkedin.com/company/b-capital-group/">B Capital </a>and welcoming <a href="https://www.linkedin.com/company/the-nature-conservancy/">The Nature Conservancy</a> to our collective of climate-minded investors. This milestone includes additional investment and continued support from <a href="https://www.linkedin.com/company/convective-capital/">Convective Capital</a>, <a href="https://www.linkedin.com/company/semapanext/">Semapa Next</a>, <a href="https://www.linkedin.com/company/bentley-itwin-ventures/">Bentley iTwin Ventures</a>, <a href="https://www.linkedin.com/company/palebluedotvcclimate/">Pale blue dot</a>, <a href="https://www.linkedin.com/company/capitalt/">CapitalT</a>, <a href="https://www.linkedin.com/company/moxxie-ventures/">Moxxie Ventures</a>, and <a href="https://www.linkedin.com/company/overwater-ventures/">Overwater Ventures </a> If you want to have a real impact and solve some of the world's most complex challenges with advanced technology, come work with our talented and passionate team. Overstory is a remote-first company, with people living all over the U.S. and Europe.</div>As a Technical Delivery Lead in Overstory, you will be responsible for defining the technical direction of delivery projects, and delivering the results of our vegetation analyses to our customers. Your focus will be to understand the needs of the customer and plan the technical work to deliver successfully and in the timeline proposed, flagging any challenges early on. To execute on your plan, you will collaborate with teams of Data Scientists, Machine Learning Engineers, Data Engineers, and Full-Stack Developers to implement the technical parts of the project together. You will be in sync with the Business team to make sure the tech team is delivering value to the customers, as well as communicating any struggles and challenges. You will work in an agile manner, learning from our customers, iterating quickly, and deciding when to build for a scalable future and when to hack it together.It’s a challenging and fascinating role, with real impact on how Overstory’s customers manage vegetation at scale. You’ll be working and learning in a diverse technical team, finding ways to solve problems together using a mix of cutting edge technology and straightforward data engineering.In detail…You’ll spend most of your time working within a small team, using Overstory’s latest data processing and machine learning pipelines to analyze satellite imagery sets and other geographical datasets.We have models and pipelines at various stages of maturity and we would expect you to use and apply the results of the stable ones, and collaborate with other technical teams to enable them to improve and validate the ones still in early development.A big part of the role is using Overstory’s product and our analyses to solve customer needs. You will work closely with our Customer Success team to understand the customers’ problems, and then work with other Technical Delivery Leads and the rest of the tech team to develop solutions to those problems.On a typical day you could be: running a satellite image through a pipeline, checking the quality of the output, and working with a specialist team to tweak the input parameters; writing Python code to explore, process and analyze GIS data; reviewing data accuracy and finding ways to improve it; updating a technical project plan; preparing images and statistics for a customer presentation.You will have responsibility for your own projects, and we’ll expect you to take initiative to deliver a great product to our customers, and help us improve overall. Whether the work is about forest damage detection, tree species identification or biodiversity monitoring, you are up for the challenge!<h2>Skills</h2>You are proficient in Python.Your written and verbal English communications skills are excellent, and you have empathy and understanding of different roles and business priorities, including for companies outside your sector.You have diverse and rich experiences communicating with both deeply technical and specialist colleagues, and with sales, business and customer success teams, and directly with customers.You manage your own time effectively, across multiple projects and occasionally under pressure, able to prioritize short and long term activities with a strategic approach.<h2>Experience</h2>You have worked in a startup environment, ideally for at least 2-3 years, or have very similar experience of dynamic, innovative work. You have experience working in an uncertain environment where there is no clear “right” answer, and where you have multiple stakeholders to work with.You have demonstrated the ability to successfully lead technical projects and customer deliveries from inception through to shipping and integration feedback, in a commercial environment.Your experiences have given you a strong capacity to work through trade-offs, to make decisions, to prioritize, and to choose and implement practical solutions. You will face challenges with pragmatism, balancing technical and business perspectives, finding creative ways forward, and putting them into practice.<h2>Nice-to-haves</h2><ul><li>Geospatial data engineering/data science experience, or remote sensing experience</li><li>Experience in a remote team</li><li>Experience delivering B2B data/digital products and solutions</li></ul><h2>About you</h2><ul><li>You are creative and curious</li><li>You are flexible and ready and able to learn new things, and able to quickly adapt to new working practices and technologies</li><li>You are pragmatic, you know when a simple solution is sufficient or when new development is required</li><li>You are a strong communicator, able to express your ideas succinctly. You make complex ideas accessible to others</li><li>You have an eye for quality, your work is thorough, and you pay attention to both the small details and the larger picture</li><li>Teamwork is at your core, and you like to help others grow and succeed</li><li>You’re in a time zone +/- 1 hour from CET</li></ul><div><h2>What you get</h2><ul><li style="font-weight:400;">To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis.</li><li style="font-weight:400;">Flexible working environment with a lot of autonomy. We build our work days around our lives, not the other way around.</li><li style="font-weight:400;">Other benefits like a remote working budget, an educational budget and time to develop new skills.</li><li style="font-weight:400;">To be surrounded by an excellent, vibrant, smart team who have each other's back and believe in a culture of openness, tolerance and respect.</li><li style="font-weight:400;">Equity and a competitive salary.</li></ul><h2>About our team</h2>We are a group of 70 people from all over the world. Twelve nationalities are represented in our team. We work remotely from nine different countries and we are looking for candidates that are also living and working in one of these countries: United States, the Netherlands, United Kingdom, Switzerland, Estonia, Portugal, France, Sweden and Canada. We meet up once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration. <h2>Diversity &amp; Inclusion</h2>We place enormous value on diversity and inclusion and strive to continually bring in people of all genders, races, creeds, ethnicities, abilities and backgrounds. We believe that the best ideas emerge when people with different perspectives and approaches work together on a problem.We’re always looking to diversify our team further, but we’re proud of the fact that four out of the eight people on our leadership team are female or non-white males, 47% of the overall team are female and 20% of the team are people of color. Our team speaks thirteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Indonesian and Cantonese. <h2>Our values</h2> Tackling the climate crisis is our greatest mission.We act with urgency.Our curiosity fuels our growth.We recognize that change is constant, and we find joy and power in exploration.We’re rooted in diversity.Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences.We care for each other.We love the power of machines but we nurture each other as humans.Trust is fundamental.We assume the best in everyone, and we share ideas openly so that we have a positive impact. </div>

Using machine learning and satellite imagery, Overstory tracks forests and vegetation to reduce the risk of wildfires and power outages, helping

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