<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

<div class="cms-title">
<div class="large-text">You will be responsible for building ExpectAI's climate action models that enable our customers to find and take profitable decarbonisation actions with confidence. You will employ lean &amp; agile principles to build, release and gather feedback on numerical &amp; language models extremely rapidly.</div>
</div>
<div class="article job-article w-richtext">
<h2>About us</h2>
ExpectAI is a software platform committed to helping organisations reduce their carbon emissions and achieve their climate goals. UNA, ExpectAI&rsquo;s Climate Action Platform, enables organisations to understand, navigate and accelerate their journeys to NetZero, profitably.
We have offices in London &amp; Glasgow with remote team members across the US and UK. We are seeking passionate individuals who have a strong interest in addressing climate-related challenges and are dedicated to the mission of our start-up.
Our Mission: Our mission is to mitigate 500Mt of carbon from entering the atmosphere. For reference, one megaton is one million tons. 500Mt is roughly ~1% of annual global emissions.
<h2>The role</h2>
We are in search of a team member who is enthusiastic about all aspects of delivering exceptional products, becoming proficient in the climate domain, and helping to steer the direction of the company. You'll be joining as one of the early members of the team at ExpectAI, playing a crucial role in shaping our future endeavours.
You will be responsible for building ExpectAI's climate action models that enable our customers to find and take profitable decarbonisation actions with confidence. You will employ lean &amp; agile principles to build, release and gather feedback on numerical &amp; language models extremely rapidly.
This is a hybrid role in Glasgow, UK (where you must have the right to work), with a requirement to join the team in person at least 3 days each week and the company (in London, Glasgow or in between) for a week once a month to solve problems together.
<h2>What you will bring</h2>
3-5 years experience building a product (preferably B2B) at a start-up in an industry where data is mission-critical (finance, healthcare, etc.)
<h2>Experience</h2>
<ul role="list">
<li>Data wrangling - Preparing diverse structured and unstructured datasets, including cleaning, normalising, imputing missing values and feature engineering.</li>
<li>Statistical ML - Building and validating ML models leveraging statistical and probabilistic techniques like regression, random forests, statistical inference and Bayesian methods.</li>
<li>Neural networks - Developing and fine-tuning deep learning models such as CNNs, RNNs, LSTMs for applications including time series forecasting</li>
<li>Gen AI - evaluating and deploying large language models for applications like text generation, summarization, translation, and question answering</li>
<li>AI Ops - Deploying, monitoring and managing infrastructure for model release to production</li>
</ul>
<h2>Languages &amp; platforms</h2>
<ul role="list">
<li>Python: TensorFlow, PyTorch and Scikit-Learn</li>
<li>Azure / GCP: AI Services / Vertex, Open AI / Gemini LLMs and</li>
<li>Azure / GCP: Document AI / Intelligence (preferred)</li>
<li>Neo4j: Graph DB and Graph Data Science (preferred)</li>
</ul>
<h2>Approach</h2>
<ul role="list">
<li>AI tooling - leveraging a second brain to problem solve and accelerate solution development using CoPilot, ChatGPT, etc.</li>
<li>Integration shortcuts - assessing, configuring and connecting third-party cloud services, libraries, tools &amp; frameworks</li>
<li>Lean &amp; agile - developing software quickly, iteratively and with feedback</li>
<li>Transparent - working openly and collaboratively using JIRA &amp; Slack</li>
</ul>
<h2>Interview process</h2>
At ExpectAI, we are solving one of the world's most complex and challenging problems. To do this, we need to work with the most talented people in their respective fields. It is for this reason that we take hiring seriously at ExpectAI, and have structured our interview process accordingly.
All interviews will be 45 minutes to 1 hour, with a mix of remote (with video) and in-person.
<ol role="list">
<li>Offline modelling exercise</li>
<li>Technical interview with product lead</li>
<li>Culture &amp; team interview with leadership team member</li>
<li>Leadership interview with founder</li>
</ol>
We make this process as transparent and collaborative as possible, and each and every single candidate will get feedback on each round of interview, be that successful or not successful.
We aim to complete the process in less than 2 weeks from first interview to offer.
<h2>At ExpectAI, our values are...</h2>
<ul role="list">
<li>Stronger Together</li>
<li>Curious Challengers</li>
<li>Act with Integrity</li>
<li>Embrace Diversity</li>
<li>Sense of Urgency</li>
</ul>
<h2>..and individuals are</h2>
<ul role="list">
<li>Ambitious beyond limits</li>
<li>Curious</li>
<li>Do&rsquo;ers</li>
<li>Self motivated</li>
<li>Smart</li>
<li>Fearless</li>
<li>Team players</li>
</ul>
<h2>What you will get</h2>
<ul role="list">
<li>Salary Range: &pound;35K to &pound;55K</li>
<li>25 days annual leave</li>
<li>You&rsquo;ll be at the forefront of innovation shaping a fast-growing industry</li>
<li>Be exposed to the right mix of challenges, within a culture that promotes continuous learning and development</li>
<li>A fun and open working atmosphere</li>
</ul>
<h2>Apply</h2>
At ExpectAI, you can be the person you are, regardless of ethnicity, religion, age, disability, sexual orientation, and/or gender identity. We are building a diverse team and invite diverse individuals with varied backgrounds to apply.
Please note that the successful candidate will be subject to a background check and references. By applying for this role, you confirm that information submitted is accurate and that you understand falsification is cause for denial or termination of employment.
</div>

ExpectAI’s Climate Action Platform, enables organisations to understand, navigate and accelerate their journeys to NetZero, profitably.

Data Scientist

<h2>Overview</h2>Put your passion and skills to work for the planet. Climate change is the most urgent issue of our time, and we need people like you to help us build a vital Earth — for everyone. We’re Environmental Defense Fund, a fast-paced nonprofit with a growing staff of more than 1,000 people in nearly 30 countries. We deliver game-changing solutions that cut climate pollution and strengthen people’s ability to thrive despite the effects climate change is already having. We work wherever we can have the most impact, from local communities to top companies to governments worldwide, and even in space. Our culture, values and commitment to diversity make EDF an exciting and meaningful place to work. Every job here makes a difference. Won’t you join us?<h2>Responsibilities </h2>The Office of Chief Scientist (OCS) is the nexus of science at EDF, ensuring that the science that is the backbone for all EDF policy positions is based on the best available information. To be most effective in this role, OCS provides programmatic support for all scientists at EDF and fosters relationships with scientists outside the organization. EDF has set an ambitious goal to achieve a 45% cut in global methane pollution from the Oil and Gas supply chain by 2025 in an effort to reduce the rate of warming we will experience over the next 20 years, equivalent to closing one third of the world’s coal fired power plants.  Overall Function The Scientist, Global Methane will be a key contributor to oil and natural gas-associated initiatives within EDF. Minimizing methane emissions from oil and natural gas supply chains is a core part of EDF’s energy and climate work. The Scientist will (i) help EDF stay at the cutting-edge of how to measure and mitigate anthropogenic methane emissions, and (ii) work to develop the scientific understandings required to mitigate methane emissions associated with global production and distribution of oil, gas, and coal. The Scientist will work with EDF's Office of the Chief Scientist team in close collaboration with policy and legal experts and report to the International Senior Scientist. Key Responsibilities<ul> <li>Conduct research, analysis and provide scientific guidance and support for EDF’s work to characterize and mitigate methane emissions from oil and gas operations.</li> <li>Design, plan and execute EDF’s work on characterizing methane emissions from oil and gas supply chain; collaborating and coordinating effectively with academic and other relevant partners.</li> <li>Provide scientific guidance on the design and development of robust, empirically based measurement, reporting and verification (MRV) frameworks for methane emissions from the oil and gas industry.</li> <li>Coordinate and manage partnerships with research institutions.</li> <li>Coordinate and ensure rigor of scientific initiatives collaboratively undertaken with a diverse group of stakeholders including industry, academics, multilateral organizations and the public sector.</li> <li>Synthesize scientific results and insights from recent literature and communicate that information to a multi-disciplinary team, including EDF scientists, policy experts, and corporate and community partnership specialists.</li> <li>Provide scientific support to EDF’s global oil and gas methane initiatives and program.</li> <li>Remain at the cutting-edge of climate science, including staying up-to-date with the scientific literature.</li> <li>Ensure scientific integrity of EDF generated materials.</li> <li>Participate/lead in the analysis and writing of papers for publication in peer-reviewed journals.</li> <li>Attend and represent EDF at external meetings and interact with the scientific community at large.</li> <li>Participate in advancing EDF DEI goals in which people from all backgrounds and experiences feel connected, included, and empowered to address the environmental and organizational challenges in alignment with EDF values.</li> <li>Independently support other “rapid response” and/or project development efforts on an as-needed basis.</li></ul>Qualifications<ul> <li>A PhD in atmospheric science, physical sciences or engineering (e.g., chemical engineering) or related field with at least 2 years of experience, post-doc required.</li> <li>A track record of performing and publishing methane-focused research.</li> <li>Familiarity with methane emission datasets (i.e., in-situ measurements, satellite remote sensing).</li> <li>Experience coordinating methane field measurement campaigns.</li> <li>Understanding of methane monitoring technologies.</li> <li>Strong quantitative analysis skills.</li> <li>Excellent written and oral communication skills.  </li> <li>Initiates and maintains contacts within the scientific community.</li> <li>Experience in performing rigorous analysis with short deadlines in support of highly visible work.</li> <li>The ability to communicate complex ideas in writing and orally to multiple stakeholders with different levels of expertise, including the public and industry.</li> <li>Must demonstrate cultural awareness and the knowledge, attitude, behavior and skills that lead to a culturally competent workplace. Must demonstrate a commitment to continued self-assessment, learning and growth to increase and broaden culturally competent skillsets that produce effective interactions with people across diverse cultures and backgrounds. This includes the ability to adapt to cultural change.</li> <li>An ability to work both independently and as a member of small teams on multiple projects in a fast-paced, dynamic. and creative environment.</li> <li>Demonstrates self-awareness, cultural competency and inclusivity, and ability to work with colleagues and stakeholders across diverse cultures and backgrounds.</li></ul>Additional Preferred Qualifications<ul> <li>Familiarity with emission inventories.</li> <li>Proficiency in statistical analysis and understanding of atmospheric modeling.</li> <li>Willingness to travel internationally (&lt;10% of time).</li> <li>Understanding of current methane MRV frameworks</li></ul> Locations: Remote – US; Belgium; Netherlands Range for Belgium: 66,000 – 72,000 EURRange for Netherlands: 67,000 – 74,000 EUR NOTE: If you’re applying for one of our European locations, you must have the right to live and work in the applicable country when applying.<h2>Pay Ranges</h2>We offer a strong total rewards package encompassing competitive salary, robust benefits, and professional development opportunities consistent with a modern global organization. We take into account factors such as candidate experience, skills, training, internal team equity and local norms.The pay range for this role is shown below. Please note that pay ranges are country specific. As a result, the stated currency is not meant be converted into any other currency. <h2>Minimum Salary</h2>USD $95,000.00/Yr.<h2>Maximum Salary</h2>USD $106,000.00/Yr.<h2>EEO Information</h2>Environmental Defense Fund is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.

Leading the way in environmental solutions with strong science, partnerships, and practical approaches for a sustainable future.

Scientist, Global Methane

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

<h2>Overview</h2>Put your passion and skills to work for the planet. Climate change is the most urgent issue of our time, and we need people like you to help us build a vital Earth — for everyone. We’re Environmental Defense Fund, a fast-paced nonprofit with a growing staff of more than 1,000 people in nearly 30 countries. We deliver game-changing solutions that cut climate pollution and strengthen people’s ability to thrive despite the effects climate change is already having. We work wherever we can have the most impact, from local communities to top companies to governments worldwide, and even in space. Our culture, values and commitment to diversity make EDF an exciting and meaningful place to work. Every job here makes a difference. Won’t you join us?<h2>Responsibilities </h2>Program Overview  With world attention focused on both the environment and the economy, Environmental Defense Fund (EDF) is where policymakers and business leaders turn for win-win solutions. This leading green group, with programs from Boston to Beijing, has tripled in size over the past decade by focusing on strong science, uncommon partnerships and market-based approaches. You can be part of a vibrant workplace that welcomes diverse perspectives, talents and contributions, where innovation and a focus on results are a way of life.   The goal of EDF's Ocean Science Program is to deliver the science that will help build resilient oceans that provide more fish in the water, more - and more secure - food on the plate and more prosperous fishing communities, all over the world, even with climate change.  In recent years, we have focused on the science behind robust transformations of fisheries management in the U.S., China, Japan, Indonesia, the Philippines, Mexico, Peru, Chile, Belize, Cuba and Europe, working in partnership with diverse stakeholders and coastal communities. Scientific priorities include developing new approaches to understand and address the effects of climate change on marine ecosystems, including not only resilient fisheries, but also complementary engagements that enhance marine and coastal ecosystem resilience and human wellbeing, especially for disadvantaged and vulnerable populations.     Location  U.S. Remote, with possibility to work out of an EDF Office location (Austin, TX; Boulder, CO; Boston, MA; New York, NY; Raleigh, NC; San Francisco, CA; Washington D.C.), with travel to Cornell University and other EDF locations as needed. Fellow supervisors are in Boston, MA, Seattle, WA, and Ithaca, NY. Eligibility to work in the U.S. is required for the duration of the fellowship. Term  This is a 2-year fellowship with an anticipated start date between July 1 and September 1, 2024.  Overall Function  The Atkinson Postdoctoral Fellow will develop a model to evaluate the food and nutrition provisioning implications of prospective commercial fisheries targeting mesopelagic (midwater) marine fishes and zooplankton for use in aquaculture feeds (e.g., fishmeal), and conduct a trade-off analysis of climate mitigation and food production goals from such fisheries. Specifically, the fellow will calculate the fishmeal production potential from fisheries in 1-2 geographies (potentially the California Current, Humboldt Current, and/or the North Atlantic), and calculate the potential protein and micronutrient yield of aquaculture species portfolios reflecting different management goals (e.g., maximize protein, maximize specific nutrients, maximize profit). This analysis would be integrated with ongoing modeling of the carbon sequestration potential of mesopelagic species, to enable a trade-off analysis. The fellow will determine the optimum level of harvest of mesopelagic species in each geography that could support food security provisioning and minimize disruption of carbon sequestration. This model and trade-off analysis will be developed into one or more academic journal articles, as well as policy briefs and communication materials to share with national and international fishery management bodies, industry representatives, and climate leaders.  The fellow will work with Dr. Julia Mason, Social-ecological Systems Scientist and Dr. Mattias Cape, Marine Biogeochemical Scientist at EDF, and Dr. Eugene Won, a fish biologist and aquaculture specialist at Cornell University. The fellow will be part of a cohort of postdoctoral and research fellows at EDF, and will collaborate closely with research partners at Cornell University as well as other research institutions. Continued professional development, training and mentoring by EDF &amp; Cornell staff and partners will be provided.  Diversifying the next generation of sustainability scholars is a shared goal of Cornell Atkinson and EDF, and we strive to honor and value candidates’ identity and experiences. We value lived experience, and so we encourage all applicants to apply even if 100% of the listed qualifications are not met. Key Responsibilities Tasks may include but are not limited to: <ul> <li>Synthesize estimates of mesopelagic biomass and fishing potential in the selected regions. </li> <li>Synthesize nutrition content information on mesopelagic species to quantify the potential use of this fishery as an aquaculture feed commodity. </li> <li>Collaborate with biogeochemical modelers to weigh food provisioning estimates against carbon sequestration benefits. </li> <li>Develop an optimization analysis to characterize scenarios that maximize food security goals while minimizing climate impacts. </li> <li>Lead and participate in the preparation of manuscripts for publication in peer-reviewed journals. </li> <li>Develop communications materials including policy briefs, one-pagers, infographics, slide decks, blog posts, and social media posts. </li> <li>Present findings at scientific conferences and to decision-making and industry audiences. This could include participation in fora such as Regional Fisheries Management Organization Meetings, the 2025 UN Oceans Conference, or COP29/30.  </li> <li>Represent EDF and Cornell in external meetings with a high degree of professionalism. </li> <li>Participate in advancing EDF Diversity, Equity, and Inclusion (DEI) goals in which people from all backgrounds and experiences feel connected, included, and empowered to address the environmental and organizational challenges in alignment with EDF values. </li> <li>Participate in the joint Cornell Atkinson and EDF Sustainable Leadership Program for postdoctoral fellows.</li></ul> Qualifications <ul> <li>A recent Ph.D. in a relevant field (e.g., biogeochemistry, fisheries science, marine ecology, sustainability science, natural resource management, natural resource economics, food systems modeling, nutrition, social-ecological systems). This position has the potential to weave together different disciplines, so we welcome candidates from diverse fields.   </li> <li>Quantitative analysis and/or modeling skills strongly desired, such as food web, biogeochemical cycling, economic, or statistical modeling; optimization or trade-off analyses; or systems analyses such as fuzzy cognitive mapping, network analysis, etc.</li> <li>Programming experience (e.g., R, Matlab, Python) desired.</li> <li>Data visualization skills are a plus.</li> <li>Ability to work with wide range of environmental (e.g., oceanographic, biogeochemical, wildlife management, ecological) and/or nutrition (e.g., proximate composition analysis) datasets is a plus. </li> <li>Demonstrate excellence in rigorous scientific analyses and in oral and written communication of scientific concepts, especially for public and policy audiences. </li> <li>A track record of relevant research and presentations at scientific conferences, including at least one peer-reviewed publication (or manuscript currently under review) on a related topic or using relevant quantitative methodology desired. </li> <li>Ability to work independently, using independent judgment and initiative to plan, prioritize, problem solve, and organize workload in a fast-paced environment. </li> <li>An interest and commitment to solving environmental problems based on rigorous science and solutions-focused approaches. </li> <li>Interest and ability to work in interdisciplinary collaborations.</li> <li>Must have the ability to travel domestically as needed.</li> <li>Demonstrate self-awareness, cultural competency and inclusivity, and ability to work with colleagues and stakeholders across diverse cultures and backgrounds. </li></ul> Application Materials  Interested applicants should attach a 2-page CV and a cover letter with their EDF application. The cover letter (&lt; 1000 words) should include a description of the candidate's relevant experience, their interest in the subject matter, and a brief statement of the candidate’s contribution and/or commitment to DEI. If applicable, please also provide reprints 1-3 of your most relevant and compelling publications (can include manuscripts in prep or in review, and scientific communication pieces).  <h2>Pay Ranges</h2>We offer a strong total rewards package encompassing competitive salary, robust benefits, and professional development opportunities consistent with a modern global organization. We take into account factors such as candidate experience, skills, training, internal team equity and local norms.The pay range for this role is shown below. Please note that pay ranges are country specific. As a result, the stated currency is not meant be converted into any other currency. <h2>Minimum Salary</h2>USD $68,250.00/Yr.<h2>Maximum Salary</h2>USD $68,250.00/Yr.<h2>EEO Information</h2>Environmental Defense Fund is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.

Atkinson Postdoctoral Science Fellow

<h2>Overview</h2>Put your passion and skills to work for the planet. Climate change is the most urgent issue of our time, and we need people like you to help us build a vital Earth — for everyone. We’re Environmental Defense Fund, a fast-paced nonprofit with a growing staff of more than 1,000 people in nearly 30 countries. We deliver game-changing solutions that cut climate pollution and strengthen people’s ability to thrive despite the effects climate change is already having. We work wherever we can have the most impact, from local communities to top companies to governments worldwide, and even in space. Our culture, values and commitment to diversity make EDF an exciting and meaningful place to work. Every job here makes a difference. Won’t you join us?<h2>Responsibilities </h2>LocationThe Fellow will be based at Cornell University in Ithaca, NY with occasional travel to field locations within the Hudson Valley of New York.  TermThis is a 2-year fellowship with an anticipated start date of ASAP and no later than September 2024. Application MaterialsInterested applicants should attach their cover letter and resume to the EDF application, together with a peer-reviewed publication or manuscript in prep or in review. Program/Department Overview The Office of Chief Scientist (OCS) is the nexus of science at EDF, ensuring the science that is the backbone for all EDF policy positions is based on the best available information. To be most effective in this role, OCS works with staff from across EDF and provides programmatic support for all EDF scientists as well as fosters relationships with scientists in academia, government and industry. EDF has set the ambitious goal of reducing greenhouse gas emissions by 20% by 2030 through nature-based climate solutions. Reduced emissions from and increased carbon sequestration in croplands are necessary to meeting this goal. Improved understanding of mechanisms, measurement, and baselines will enable implementation of the most effective and credible climate solutions while also benefitting agricultural resilience, soil health and farmer livelihoods. We work to advance the scientific understanding of agricultural systems, and to translate the science into action through implementation of the most effective and credible climate solutions. Overall Function The Fellow will be closely engaged with the work of Cornell’s School of Integrative Plant Sciences’ Soil &amp; Crop Sciences Section, will participate in the joint EDF-Cornell Sustainability Leadership Program, join a thriving community of scientists across EDF, and participate in ongoing meetings with program and policy staff across the organization. The Fellow will be part of a collaborative team that spans multiple universities (Yale School of the Environment, Cornell School of Integrative Plant Science) and organizations (Hudson Carbon and Woodwell Climate Research Center), and will report directly to the co-P.I.’s (Drs. Emily Oldfield and Jocelyn Lavallee at EDF and Dr. Louis Longchamps at Cornell). This collaborative team is implementing a research project focusing on regional and field scale sampling designs for soil carbon sequestration in the Hudson Valley of New York State. The Fellow will couple high density soil carbon stock data with other data products related to soil series, topography, management, landscape and environmental covariates (e.g., soil survey data, remote sensing data products) to explore questions related to soil sampling designs, landscape stratification and data optimization for digital soil mapping in a regional agroecosystem. We anticipate the Fellow will lead the writing of at least one peer-reviewed publication, a white paper, one publication and one presentation for Extension, and will help curate an open-access database. Key Responsibilities Working with the co-P.I.’s, the Fellow will help refine and direct the scope of the study and assume leadership of the work in close collaboration with the larger project team.Tasks will include but are not limited to:<ul> <li>Research and analyze which environmental, landscape and management co-variates are most effective for stratifying agricultural fields to inform efficient sampling designs and improve sampling for soil organic carbon (SOC) estimation.</li> <li>Identify whether stratification of agricultural fields relevant to SOC spatial distribution can provide valuable information to farmers for crop management (e.g., site-specific management of fertilizers and/or links between yield history and soil health metrics).</li> <li>Evaluate trade-offs between precision and time/cost when comparing traditional soil sampling and analysis with field-based visible and near infrared (vis-NIR) approaches.</li> <li>Prepare digital soil carbon stock maps for participating farmers highlighting information relevant to farmers for crop management.</li> <li>Outreach and engage with participating farmers and stakeholders through Extension publication(s) and presentation(s).</li> <li>Assist in the generation and collation of an open-access database including soil sample analysis, spectroscopic measurements, biophysical covariates, and farm management data.</li> <li>Write at least one paper for publication in a peer-reviewed journal, and present project results at scientific workshops and conferences.</li> <li>Contribute to grant proposals, white papers, reports, fact sheets, policy briefs and blogs on pathways to scaling soil carbon stock measurement/monitoring, reporting, and verification.</li> <li>Facilitate project cohesion and collaborative research ties through organizing meetings, delivering casual presentations on research progress, and maintaining email contact with the project team.</li> <li>Supervise intern(s) associated to the project and support research teams with related projects as required.</li> <li>Participate in advancing EDF Diversity, Equity, and Inclusion (DEI) goals in which people from all backgrounds and experiences feel connected, included, and empowered to address the environmental and organizational challenges in alignment with EDF values.</li> <li>Participate in the joint Cornell Atkinson and EDF Sustainable Leadership Program for postdoctoral fellows.</li></ul> Qualifications<ul> <li>A recent Ph.D. in soil science, digital agronomy, spatial statistics or related area.</li> <li>Strong analytical skills, including demonstrated experience with spatial statistics and interpolation.</li> <li>Experience with statistical computing (e.g., R or Python) and GIS analytics and software (e.g., ArcGIS or QGIS).</li> <li>A track record of relevant research and presentations at scientific conferences, including at least one peer-reviewed publication (or manuscript currently under review) on a related topic or using relevant quantitative methodology.</li> <li>Demonstrated excellence in rigorous scientific analyses and in oral and written communication of scientific concepts. </li> <li>Demonstrated interest in expanding expertise to new areas, and to the science-policy interface.</li> <li>Ability to communicate science-based insights to a range of stakeholders in the research, development, and policy communities.</li> <li>Aptitude and inclination towards creative problem solving with transdisciplinary approaches.</li> <li>Excellent written and oral communication skills.</li> <li>Well organized, motivated, and detail-oriented.</li> <li>Ability to multi-task, prioritize and meet deadlines.</li> <li>Ability to work independently, using independent judgment and initiative to plan, prioritize, problem solve, and organize workload in a fast-paced environment.</li> <li>Demonstrated self-awareness, cultural competency and inclusivity, and ability to work with colleagues and stakeholders across diverse cultures and backgrounds.</li> <li>Demonstrated initiative and problem solving skills.</li> <li>Ability to travel within the U.S. if interested in participating in field and lab work (up to 10 days per year over the term of this position).</li></ul><h2>Pay Ranges</h2>We offer a strong total rewards package encompassing competitive salary, robust benefits, and professional development opportunities consistent with a modern global organization. We take into account factors such as candidate experience, skills, training, internal team equity and local norms.The pay range for this role is shown below. Please note that pay ranges are country specific. As a result, the stated currency is not meant be converted into any other currency. <h2>Minimum Salary</h2>USD $68,250.00/Yr.<h2>Maximum Salary</h2>USD $68,250.00/Yr.<h2>EEO Information</h2>Environmental Defense Fund is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.

<div>About KOKO Networks</div><div>KOKO Networks is a venture-backed climate-tech company with 1,800+ employees across East Africa, India, and the United Kingdom. Our mission is to imagine and deliver technology that improves life in the world’s fastest growing cities. We offer a fast-paced and highly collaborative work environment with significant opportunities for professional growth.  Our core lines of business currently include: (1) KOKO Fuel, an ultra-clean liquid bioethanol cooking fuel solution delivered via a network of smart fuel ATMs and leveraging existing downstream liquid fuels infrastructure; and (2) KOKO Climate, which retails the emissions reductions that occur from switching households from deforestation-based charcoal to KOKO Fuel. In 2021, KOKO was selected as the world’s leading emerging markets climate technology solution by FT/IFC. </div><div> </div><div>Your Role</div><div>As Data Science Manager, you will be expected to bring a strong culture of algorithmic problem-solving and statistical modeling into KOKO’s business decisions across all functions and countries.</div> <h3>What You Will Do</h3><ul><li>Responsible for building the roadmap for Data Science projects for KOKO with conceptualization, planning and execution of high impact priorities</li><li>Responsible for building analytical systems, algorithms and predictive models, as well as experimenting with new models and techniques</li><li>Ensure that data projects align with organizational goals</li><li>Teach, lead, and counsel colleagues on new techniques and data-based solutions</li><li>Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company’s ecosystem</li><li>Responsible for overseeing teams of data scientists, data specialists and interns with scale-up</li></ul><h3>What You Will Bring to KOKO</h3><ul><li>Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field</li><li>6 to 8 years of experience solving analytical problems using quantitative approaches</li><li>Experience communicating quantitative analysis results, especially to business stakeholders</li><li>Experience in managing, mentoring and coaching small teams</li></ul><h3>Technical skills expected in the role - must have</h3><ul><li>Programming: Python (Preferred) / R</li><li>Proficiency in relational databases and SQL querying</li><li>Proficiency in working with Excel / Google Sheets (knowledge of data read &amp; write connectors)</li><li>Deep understanding and experience with implementing of ML models in at least some of the techniques from each of the following buckets: </li><div>				Regression: Linear, Logistic, Multinomial, Mixed effect</div><div>				Classification: Bagging &amp; Boosting (Random Forest), Decision tree, SVM</div><div>				Clustering: K-Means, hierarchical, DB-Scan</div><div>				Time series: ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS (VAR), UCM</div><div>				Neural Networks: RNN, CNN, (Deep learning), Naive Bayes</div><li>Dimensionality Reduction: PCA, SVD, etc.</li><li>Optimization Techniques: Linear programming, Gradient Descent, Genetic Algorithm</li><li>Cloud: Understanding of Azure / AWS offerings, Setting up ML pipeline in cloud </li></ul><h3>Technical skills expected in the role - nice to have</h3><ul><li>Visualization: Domo / Tableau / Power BI / Looker / QlikView</li><li>Data Management: HDFS, Spark, Advanced Excel</li><li>Agile Tools: Azure DevOps, JIRA</li><li>Development experience with PysparkBig Data/Hive Database</li><li>IDE: Pycharm</li></ul> <div>KOKO is committed to gender and racial diversity in the workplace. We encourage candidates of all backgrounds to apply!</div>

"Revolutionizing the way we communicate and connect with our loved ones through immersive virtual experiences."

Manager, Data Science - Pune, India / Nairobi, Kenya

<div>Living Carbon is hiring an Associate Director of Plant Transformation to lead plant transformation across our Hayward, CA and Charleston, SC labs. As a senior leader at the company, the Associate Director of Plant Transformation will be a key member of the R&amp;D leadership team. This role will play a central role leading the development of the company’s capabilities in genome engineering and the production of transgenic and gene edited events for product creation. </div> <h3>Qualifications</h3><ul><li>Ph.D. in Plant Biology or related field with at least 8 years of industrial experience in plant tissue culture and transformation, or equivalent education and experience</li><li>Track record of R&amp;D productivity, accomplishments, and team management experience </li><li>In depth knowledge and hands-on experience in tissue culture and transformation of multiple plant species</li><li>Demonstrated experience developing transformation protocols for challenging plant species, including trees </li><li>Working knowledge and experience in protoplast isolation, manipulation, and regeneration </li><li>Demonstrated record of streamlining the process of production transformation within project timeline </li><li>Ability to perform data and statistical analysis with the focus to establish, guide, and improve SOPs in the functional area</li><li>Strong, effective, and detail-oriented problem-solving skills to navigate and troubleshoot complicated technical and non-technical issues</li><li>Experienced people manager with demonstrated strong interpersonal skills with an ability to build effective working relationships within functional area</li><li>Strong communication and organizational skills to lead and support efficient cross-functional collaborations to help advance company projects</li></ul><h3>Responsibilities</h3><ul><li>Direct and lead plant transformation protocol development and process optimization </li><li>Design, guide, and execute lab experiments on both technology development and event production </li><li>Maintain urgency in technical execution of projects while overcoming critical hurdles to drive company progression </li><li>Plan and forecast timelines on event generation and delivery to support company’s decision making process; responsible for managing timelines and deliverables</li><li>Drive effective communication and information sharing (knowledge, protocols, materials, etc.) among team members across  multiple lab locations</li><li>Manage, grow, develop, and mentor the team of plant transformation scientists including team leads and individual contributors </li><li>Work closely with our Chief Science Officer and project leaders on resource allocation, task management, risk identification and mitigation strategies to ensure project needs are met</li><li>Communicate both verbally and in writing with cross-functional project teams, management, and other stakeholders to ensure progress updates are provided and objectives are met on time</li><li>Collaborate effectively with colleagues on the development of protocols, SOPs, quality control processes, data archives as well as the analysis of results and troubleshooting</li><li>Stay abreast of current developments in the field of plant tissue culture, transformation, and genome engineering. Synthesize learnings to improve the company’s transformation process </li><li>Some travel is expected for this role as the team is currently located in both Hayward, California and Charleston, South Carolina.</li></ul> <div>Living Carbon PBC offers competitive compensation, and generous healthcare, dental and vision insurance.</div><div> </div><div>Living Carbon PBC is an equal opportunity employer.</div><div> </div><div>We believe the best solutions to climate change are created by diverse teams. Living Carbon is focused on building a multicultural and inclusive team with strong representation from the many diverse communities disproportionately impacted by climate change. As a public benefit corporation, ensuring solutions to slow climate change are widely distributed to all peoples is critical to the success of our mission. </div>

Harnessing advanced biotechnology and the power of plants to combat climate change through carbon sequestration and storage.

Associate Director of Plant Transformation

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

A global research organization turning big ideas into action for a sustainable future, addressing critical challenges.

Research Manager, Supply Chains

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.

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