Our missionWe are Toco, a company driven by a passion to combat climate change by revolutionising archaic aspects of the global financial system. Our mission is to create a new era of environmental consciousness and action through the introduction of Tocos, a groundbreaking carbon currency. Tocos represents one tonne of carbon dioxide that has been removed from the atmosphere, giving individuals and businesses a tangible way to offset their carbon footprint and contribute to a sustainable future. At Toco, we believe that traditional political and economic structures have fallen short in addressing the urgent climate crisis. Our innovative approach breaks free from the limitations of the past and empowers people to take climate action into their own hands. By uniting as a civil community, we can redefine the nature of money, challenge conventions, and lead the way where others have failed. Our digital currency is constructed to ensure transparency, security, and scalability for our users. Through a user-friendly digital platform, individuals can easily convert their earnings into Tocos, transforming their economic wealth into a powerful store of environmental value. This not only accelerates carbon reduction efforts but also creates a vibrant marketplace where carbon assets can be exchanged, valued, and invested in, all while driving positive environmental impact. With Tocos, we aim to disrupt the status quo, increase demand for carbon reduction, and facilitate a seamless transition towards a sustainable economy. By embracing Tocos, individuals, organisations, and businesses can actively participate in the fight against climate change, unlocking new opportunities for environmental wealth while creating a better future for all. Join us in this exciting journey as we revolutionise finance and empower global citizens to make a real difference. Together, we can forge a path towards a greener, more sustainable world. To find out more about Toco, you can watch <a href="https://www.youtube.com/watch?v=ojCnVxcHedU">this video</a>.Our tech cultureThe culture is built around transparency, trust and extreme candour. Our way of working embraces “work-from-anywhere” and responsible leave (i.e. be responsible and take as much leave as you need) whilst encouraging people to have fun and extract meaning from their work; being aligned to the purpose of the company is extremely important to us. We are a product led company with cross functional teams. From an engineering perspective we want our engineers to be full stack and supported by a platform engineering team to optimise their developer experience and productivity. Lots of trust is extended to engineers to let them grow, experiment, be creative, make mistakes and learn from these. We prefer small teams and aim to keep a very high bar when hiring engineers; we expect engineers both senior and junior to be deep thinkers, adept problem solvers, customer focused, investment minded and know how and when to take a pragmatic vs purist approach. Position overviewWe are in search of a highly capable and motivated Senior Software Engineer to join our team. In this role, you will be tasked with ultimately developing our product which includes collaborating with other engineers, product owners, designers and data engineers to design, engineer and support the product. The platform engineering team will help provide tooling and support to give you leverage in order to maximise developer productivity and system stability. This remote role will report directly to the Principal Software Engineer. Candidates should ideally be located within a 4-hour range of Central European Time, though we are flexible for the right candidate. We welcome candidates with experience in cloud-based modern technology stacks, an affinity for open-source, and a passion for combating climate change through innovative technology.RequirementsResponsibilities<ul> <li>Software development: Participate in the design, development, implementation, documentation and support of complex software systems.</li> <li>Collaboration: Work closely with other team members and departments, such as product owners, to meet the company's goals and client needs.</li> <li>Code review: Perform code reviews and provide critical suggestions for fixes and improvements.</li> <li>Problem solving: Develop solutions for client-centric problems by collaborating with product teams and understanding business requirements.</li> <li>Communication: Relay complex information to technical and non-technical stakeholders.</li> <li>Mentorship: Support the development and learning of junior team members through sharing of knowledge and best practices.</li> <li>Innovation: Stay updated with relevant emerging technologies and incorporate this knowledge into your work.</li> <li>Hiring: Help with running interviews and assess technical tasks in order to make decisions about hiring teams.</li> <li>Ensuring quality in all aspects of engineering including solution design, code quality, testing quality, performance, monitoring, operations, etc.</li> <li>Research and development: Help in researching and piloting new technologies and techniques.</li> </ul>Skills and qualificationsRequired:<ul> <li>4 year degree or higher in computer science or related field</li> <li>5+ years experience</li> <li>Experience in a fast-paced [ideally startup] environment.</li> <li>Extensive experience in software engineering with demonstrated knowledge in TypeScript, Rust, JVM languages, Python, and other relevant web technologies.</li> <li>Expertise in using AWS preferred, alternatively deep experience with GCP or Azure</li> <li>Experience with React or NextJS</li> <li>Knowledge of MongoDB, or other document stores, and relational databases such as Postgres.</li> </ul>Desired:<ul> <li>Familiarity with Polkadot and Substrate for blockchain development, and a broad understanding of blockchain technologies.</li> <li>A solid understanding of event-driven architectures, distributed systems, and parallel computing frameworks. Familiarity with Kafka, Spark, Flink or similar tools would be advantageous.</li> <li>Familiarity with Kubernetes.</li> </ul> Process The process will include:<ol> <li>Interview with CTO</li> <li>Technical interview with senior engineers</li> <li>Take home case study assignment</li> <li>Review of case study discussion</li> <li>Final interview with other founders including CEO</li> <li>Offer</li> </ol>

Toco is the world’s first currency that captures CO₂ from the atmosphere. It’s money as tonnes of carbon, stored in a digital wallet, used by communities seeking impact!.

Senior Software Engineer (remote)

Our missionWe are Toco, a company driven by a passion to combat climate change by revolutionising archaic aspects of the global financial system. Our mission is to create a new era of environmental consciousness and action through the introduction of Tocos, a groundbreaking carbon currency. Tocos represents one tonne of carbon dioxide that has been removed from the atmosphere, giving individuals and businesses a tangible way to offset their carbon footprint and contribute to a sustainable future. At Toco, we believe that traditional political and economic structures have fallen short in addressing the urgent climate crisis. Our innovative approach breaks free from the limitations of the past and empowers people to take climate action into their own hands. By uniting as a civil community, we can redefine the nature of money, challenge conventions, and lead the way where others have failed. Our digital currency is constructed to ensure transparency, security, and scalability for our users. Through a user-friendly digital platform, individuals can easily convert their earnings into Tocos, transforming their economic wealth into a powerful store of environmental value. This not only accelerates carbon reduction efforts but also creates a vibrant marketplace where carbon assets can be exchanged, valued, and invested in, all while driving positive environmental impact. With Tocos, we aim to disrupt the status quo, increase demand for carbon reduction, and facilitate a seamless transition towards a sustainable economy. By embracing Tocos, individuals, organisations, and businesses can actively participate in the fight against climate change, unlocking new opportunities for environmental wealth while creating a better future for all. Join us in this exciting journey as we revolutionise finance and empower global citizens to make a real difference. Together, we can forge a path towards a greener, more sustainable world. To find out more about Toco, you can watch <a href="https://www.youtube.com/watch?v=ojCnVxcHedU">this video</a>.Our tech cultureThe culture is built around transparency, trust and extreme candour. Our way of working embraces “work-from-anywhere” and responsible leave (i.e. be responsible and take as much leave as you need) whilst encouraging people to have fun and extract meaning from their work; being aligned to the purpose of the company is extremely important to us. We are a product led company with cross functional teams. From an engineering perspective we want our engineers to be full stack and supported by a platform engineering team to optimise their developer experience and productivity. Lots of trust is extended to engineers to let them grow, experiment, be creative, make mistakes and learn from these. We prefer small teams and aim to keep a very high bar when hiring engineers; we expect engineers both senior and junior to be deep thinkers, adept problem solvers, customer focused, investment minded and know how and when to take a pragmatic vs purist approach. Position overviewWe are in search of a highly capable and motivated Senior Software Engineer to join our team. In this role, you will be tasked with ultimately developing our product which includes collaborating with other engineers, product owners, designers and data engineers to design, engineer and support the product. The platform engineering team will help provide tooling and support to give you leverage in order to maximise developer productivity and system stability. This remote role will report directly to the Principal Software Engineer. Candidates should ideally be located within a 4-hour range of Central European Time, though we are flexible for the right candidate. We welcome candidates with experience in cloud-based modern technology stacks, an affinity for open-source, and a passion for combating climate change through innovative technology.RequirementsResponsibilities<ul> <li>Software development: Participate in the design, development, implementation, documentation and support of complex software systems.</li> <li>Collaboration: Work closely with other team members and departments, such as product owners, to meet the company's goals and client needs.</li> <li>Code review: Perform code reviews and provide critical suggestions for fixes and improvements.</li> <li>Problem solving: Develop solutions for client-centric problems by collaborating with product teams and understanding business requirements.</li> <li>Communication: Relay complex information to technical and non-technical stakeholders.</li> <li>Mentorship: Support the development and learning of junior team members through sharing of knowledge and best practices.</li> <li>Innovation: Stay updated with relevant emerging technologies and incorporate this knowledge into your work.</li> <li>Hiring: Help with running interviews and assess technical tasks in order to make decisions about hiring teams.</li> <li>Ensuring quality in all aspects of engineering including solution design, code quality, testing quality, performance, monitoring, operations, etc.</li> <li>Research and development: Help in researching and piloting new technologies and techniques.</li> </ul>Skills and qualificationsRequired:<ul> <li>4 year degree or higher in computer science or related field</li> <li>5+ years experience</li> <li>Experience in a fast-paced [ideally startup] environment.</li> <li>Extensive experience in software engineering with demonstrated knowledge in TypeScript, Rust, JVM languages, Python, and other relevant web technologies.</li> <li>Expertise in using AWS preferred, alternatively deep experience with GCP or Azure</li> <li>Experience with React or NextJS</li> <li>Knowledge of MongoDB, or other document stores, and relational databases such as Postgres.</li> </ul> Desired:<ul> <li>Familiarity with Polkadot and Substrate for blockchain development, and a broad understanding of blockchain technologies.</li> <li>A solid understanding of event-driven architectures, distributed systems, and parallel computing frameworks. Familiarity with Kafka, Spark, Flink or similar tools would be advantageous.</li> <li>Familiarity with Kubernetes.</li> </ul> Process The process will include:<ol> <li>Interview with CTO</li> <li>Technical interview with senior engineers</li> <li>Take home case study assignment</li> <li>Review of case study discussion</li> <li>Final interview with other founders including CEO</li> <li>Offer</li> </ol>

Principal Software Engineer (remote)

<div class="cms-title">
<div class="large-text">You will be responsible for building ExpectAI's climate action platform that enables our customers to find and take profitable decarbonisation actions with confidence, including data processing &amp; modelling backend and user experience frontend.</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. Your prior experience should demonstrate a history of creating products that resonate with users.
You will be responsible for building ExpectAI's climate action platform that enables our customers to find and take profitable decarbonisation actions with confidence, including data processing &amp; modelling backend and user experience frontend. They will employ lean &amp; agile principles to build, release and gather feedback on end-to-end features extremely rapidly.
This is a remote role in the UK (where you must have the right to work), with a requirement to join the whole company (in London, Glasgow or in between) for a week once a month to solve problems together.
<h2>What you'll bring</h2>
5-7 years experience building a product (preferably B2B) at a start-up in an industry where data is mission-critical (finance, healthcare, etc.)
Experience
<ul role="list">
<li>Creating consistent experiences - designing pages and visual components for reuse</li>
<li>Building clear interfaces - decomposing responsibilities and testing comprehensively with quantitative data</li>
<li>Managing complex data - modelling summary and granular entities including timeseries</li>
<li>Finding shortcuts - assessing and integrating platforms and cloud services to buy not build</li>
</ul>
<h2>Languages &amp; platforms</h2>
<ul role="list">
<li>Javascript / Typescript: React</li>
<li>Python: FastAPI, Pydantic, PyTest</li>
<li>Postgres: SQL</li>
<li>GCP / Azure: Cloud Run / Apps and Functions</li>
<li>Neo4j: Graph DB (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>Engineering exercise</li>
<li>Technical interview with product lead</li>
<li>Culture &amp; team interview with one of the management team members</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, political affiliation, age, disability, sexual orientation, size, and/or gender identity. We are building a diverse team and urge individuals with varied backgrounds to apply. Let's do the hard work to make ourselves and our planet better, together.
Please note that the successful candidate will be subject to a background check. 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.

Full Stack Engineer

We design and develop data-driven tools and applications for international organizations that focus on Climate Change, Biodiversity, and Inequality.

Visual Designer

Climate change is real and we need to act fast. Our purpose is to restore the carbon balance in our atmosphere. We believe it’s important to have a positive impact on society, the economy, and the climate. Are you ready to join us on our mission? 🌎 We are at the forefront of innovation in Direct Air Capture (DAC) technology. We're on an exciting journey to bring our cutting-edge solutions from prototype to market, and we're seeking a dynamic and results-driven Project Manager Machine Development to lead the change. Role As a visionary Project Manager, you will lead our product development projects, driving the successful development into commercially viable products. You oversee the initiatives needed for the transition from prototype to engineering scale. You expertly apply effective methodologies, steering the development of our high-tech machinery by rapid prototyping and fast iteration through seamless collaboration within diverse cross-functional teams. Ensuring the successful completion of projects according to predefined criteria, encompassing schedule, budget, resources, scope, and quality, is at the heart of your role. In addition to your project oversight, you carry the responsibility of fostering content, and satisfied clients, internal teams, and other stakeholders. You embrace a culture of innovation and continuous improvement, ensuring results are achieved and deliveries are made on time.  Responsibilities <ul><li>Initiate project definition and develop a comprehensive baseline plan for execution.</li><li>Ensure ongoing alignment with organizational objectives and stakeholder expectations.</li><li>Lead and monitor project execution, making decisions to keep progress on track.</li><li>Manage project finances, scope, and milestones to meet predefined criteria.</li><li>Proactively identify, assess, and mitigate project risks, addressing issues as they arise.</li><li>Assign roles, allocate resources, and coordinate efforts across teams for project success.</li><li>Facilitate clear communication among team members, stakeholders, and relevant parties.</li><li>Lead and motivate the project team, fostering collaboration and commitment.</li><li>Select, onboard, and manage relationships with external suppliers and partners.</li><li>Oversee all aspects of project administration, documentation, and handover of results.</li></ul> Why join us? We are a purpose-driven team of international engineers, researchers, and business professionals. We do not get easily discouraged and we join forces to ensure our dream comes true. At the heart of it all, there are people inspired by our purpose: reversing climate change! We offer you to:<ul><li>Make a real difference in one of the biggest challenges of our time - reversing climate change.</li><li>Become an integral part of our fun, diverse and growing multicultural team.</li><li>Experience the dynamic and exciting environment of a startup - where there is never a dull moment.</li><li>Take ownership and actively participate in the decision-making process.</li><li>Share and implement your own ideas - we believe the best ideas can come from anywhere. </li><li>Enjoy flexible working hours and the freedom to manage your work effectively - we trust you.</li><li>Join the daily team walks at the inspiring High Tech Campus.</li><li>Engage in monthly team events and activities such as jeu de boules or barbecues, fostering a strong sense of community.</li><li>Receive a permanent contract and enjoy our recently improved attractive benefits package.</li></ul>You are someone who demonstrates a strong work ethic and dedication to achieving Carbyon's objectives. Additionally, you demonstrate proven problem-solving and organizational abilities, and the adaptability to thrive in a fast-paced environment. You actively engage in the development and application of project management best practices. Our ideal candidate is someone who: <ul><li>Has a Bachelor's or Master's degree in business administration, management, or engineering.</li><li>Gained at least 10 years experience in high-tech equipment development. </li><li>Has at least 5 years of experience as a Project Manager in such an environment. </li><li>Holds a background in multidisciplinary teams, preferably in a fast-paced international setting.</li><li>Shows deep understanding of PM principles, methodologies (iterative/agile, sequential/waterfall), and techniques.</li><li>Demonstrates effective communication, leadership, and interpersonal skills.</li><li>Is fluent in English, both spoken and written, to thrive in an international environment.</li><li>Thrives in a dynamic and collaborative team environment, demonstrating a proactive and adaptable mindset.</li><li>Enthusiastically embraces our startup's mission and values, energized to contribute to our innovative and impactful journey.</li><li>Lives within commuting distance from Eindhoven or is open to relocating - because that’s where our magic happens.</li></ul> About CarbyonAt Carbyon, we envision a future where fossil carbon is entirely replaced by atmospheric carbon. Our breakthrough technology enables extreme energy efficiency and low manufacturing costs, paving the way for a globally scalable solution. We value diversity and actively promote an inclusive culture where every employee feels valued and supported. We welcome applicants from diverse backgrounds and experiences, as we believe our diversified expertise is one of our strengths.  Are you energized by our purpose and want to work together on our mission? Reach out to us, we would love to meet you!

"Simplify and streamline your supply chain management process with our innovative and user-friendly software solution."

Project Manager Machine Development

<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>

Data Scientist

About UsAt Saildrone, we sustainably explore, map, and monitor the oceans to understand, protect, and preserve our world. We provide real-time access to critical data from any ocean on earth, 24/7/365, and use proprietary software applications to transform that data into actionable insights and intelligence. Our fleet of uncrewed surface vehicles (USVs), powered by renewable wind and solar power, have a minimal carbon footprint and operate without the need for a crewed support vessel. Saildrone works with governments, civil agencies, foundations, universities, and private companies around the globe to drive better information about our oceans and seas—from sailing into the eye of a category 4 hurricane to obtain new data about how storms intensify, collecting new CO2 data in hard-to-reach areas, and counting fish biomass to inform sustainable fishery management, to mapping the ocean floor and reducing illegal fishing and drug trafficking. As a result of our work, Saildrone has been included on Fast Company’s annual list of the World’s Most Innovative Companies, earned an Ocean Awards’ Innovation Award, won Best Tech For Good from the Timmy Awards, and was recognized by Andreessen Horowitz’s American Dynamism 50 list of the Top 50 Companies Kickstarting American Renewal. Our first-annual Atlantic hurricane mission with NOAA was included as one of The New York Times’ 21 Things That Happened for the First Time in 2021 and Popular Science's 100 Greatest Innovations of 2021.We are based in Alameda, CA, with offices in Washington DC and St. Petersburg, FL, and operate our missions worldwide. Saildrone is backed by top-tier investors in the frontier tech and sustainability sectors, including Social Capital, Capricorn, Lux Capital, BOND Capital, and Emerson Collective. This is an exciting opportunity with a fast-growing team at the cutting-edge intersection of big data services and autonomous hardware. You will be an integral part of a high-performing multi-disciplinary delivering high impact for humanity and future generations. The RoleWe are hiring a Production Control Coordinator, who will report to our Production Manager and be responsible for daily work scheduling in the cells including ensuring material is on hand &amp; ready to build, and that work is represented correctly in our production systems and schedules. They will coordinate activities in a narrow window before actual build to ensure the build goes smoothly in terms of materials and matching demand. This Position will be Responsible for:<ul><li>Working with Production Manager and existing Production Control Coordinator on creating and understanding short term production assembly demand</li><li>Understanding which assemblies are clear to build based on inventory and capacity</li><li> Ensuring the production cell has all materials on hand to build by collaborating with our inventory department</li><li> Entering, releasing and closing work orders; for traditional builds and special projects</li><li> Ensure inventory accuracy in production cells through regular audits of open work orders and repair materials</li><li> Highlighting supply chain shortages and working with supply chain team to disposition shortages</li><li> Work with manufacturing engineering to ensure BOMs match what is expected of production assemblies</li><li> Coordinate with our assembly team on availability of production assemblies and field service needs</li><li> Help maintain production long term schedule and reporting needs within the company</li><li> Work with the Production Manager to advocate for production needs from other departments</li><li> Coordinate timing and part availability for first article and engineering handoffs</li></ul> Required skills and experience<ul><li>Degree in business or quantitative area, and 2+ years production experience, or 5+ years in a production environment, or equivalent experience</li><li> Understanding and experience of factory material flows</li><li> Basic understanding of machining tasks (welding, bending, taps)</li><li> Experience with production inventory systems like Netsuite, and functions including: Bills of Materials, Work Orders, ECO implementation</li><li> Experience with work control systems like Jira, SmartSheets, Teamcenter</li><li> Strong communication and team skills, especially in a production team environment</li><li> Strong problem solving skills: e.g. What is causing us to be blocked during assembly? What can be done to solve those problems?</li><li> Strong attention to detail, specifications, and improving processes</li></ul> Physical Requirements<ul><li> Work is performed on a computer and requires ability to operate a keyboard and other peripheral devices. </li></ul> Location: This position is onsite daily in Alameda, CA with a required schedule of M-F 8am-4:30pm. Our waterfront office offers beautiful views of San Francisco Bay in always sunny Alameda. Even our walls have good karma, our offices mix software development with a hardware production line in the former airplane hangar used to film 'The Matrix'. Benefits:<ul><li>Medical, dental and vision plans for you and your dependents.</li><li>Short and relaxing ferry ride from the Ferry Building for SF residents</li><li>Enhanced Parental Leave Programs</li><li>Competitive benefits including excellent medical, life insurance, 401k plan </li></ul><div><div>A reasonable estimate of the current range is $70,000-$87,000 annually.</div></div><div> </div>Catch up on the latest news about us: <a href="https://www.nytimes.com/interactive/2023/05/09/magazine/hurricane-saildrone.html?unlocked_article_code=VUzdTI4_2Wkbe3pfTGzCSB6C-YwQ-xsFx00o1N8VWsm9ruYqPH8NHVCHj7epbQZdWW5v_5AfzFD3A-GAeKfNoskNsNxBqdlL8EnPCOqk7lhC3wec5TfyBq0X_-hXbKz4fvsT-BMCyauBDwZPUkQNMfT0D0kizkSp9QCW9-RY7hZbCGqOmWxwrxidkkvQE7E_PfPIS-smU1udF6DOg-U1JRyJNoVAz-56QPgnztgubt69DSPdUOji_Px1TlNzsDDh2Niv5pjwFrT3tITydGgZQ9G1W9VRyHubAP_SkT2W67CNCxSpGmEYk2DKsJ7ry9NFp0s1R3HE0sXnd0_RxLelAaYGK13j8VtmEyaPO24LZQ&amp;smid=url-share">The Tiny Craft Mapping Superstorms at Sea – The New York Times</a> <a href="https://www.ktvu.com/video/1259029">Alameda's Saildrones collect hurricane data - KTVU Fox 2</a> <a href="https://www.saildrone.com/news/guinness-record-highest-windspeed-recorded-by-usv-hurricane-sam">Record Setting: Saildrone Explorer SD 1045 Entered into Guinness Book</a> <a href="https://techcrunch.com/2023/03/28/saildrone-takes-the-wraps-off-its-voyager-autonomous-research-vessel/">Saildrone Takes the Wraps Off its Voyager Autonomous Research Vehicle – TechCrunch</a> <a href="https://www.sfchronicle.com/climate/article/underwater-mountain-california-alaska-17852430.php?utm_source=marketing&amp;utm_medium=copy-url-link&amp;utm_campaign=article-share&amp;hash=aHR0cHM6Ly93d3cuc2ZjaHJvbmljbGUuY29tL2NsaW1hdGUvYXJ0aWNsZS91bmRlcndhdGVyLW1vdW50YWluLWNhbGlmb3JuaWEtYWxhc2thLTE3ODUyNDMwLnBocA==&amp;time=MTY4Mzg0MjA4OTIzNQ==&amp;rid=YWRjMTllMzgtYzkzNi00OGQ2LTljMzgtMTQ2OGNlMThiZWY4&amp;sharecount=MQ==">An Underwater Mountain was Newly Discovered off California Coast – San Francisco Chronicle</a> <a href="https://insideunmannedsystems.com/the-quest-for-co2-you-cant-capture-what-you-cant-find/">The Quest for CO2: You Can’t Capture What You Can’t Find – Inside Unmanned Systems</a> <a href="https://www.freethink.com/series/hard-reset/saildrone-59150">Hacking the Anthropocene with Survivalist Robots [VIDEO] – Freethink</a> <a href="https://wapo.st/42vmblE">Here’s What Hurricane Fiona’s Surf Looked Like, from Atop a 50-foot Wave – The Washington Post</a> <a href="https://eos.org/features/an-unprecedented-view-inside-a-hurricane">An Unprecedented View Inside a Hurricane – EOS</a> <a href="https://www.cnn.com/2021/12/09/weather/saildrones-study-gulf-stream-for-carbon-climate-change/index.html">They Sailed Into a Hurricane, Now These Unmanned Saildrones are Seeking Data on Our Carbon Uptake – CNN</a> <a href="https://www.youtube.com/channel/UCeNeAwBccKamrUbEQxoygLQ">Saildrone Featured Videos Playlist</a> We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. At Saildrone, we value diversity and are committed to creating an inclusive workplace that welcomes people from all backgrounds, experiences, and perspectives. We believe that a diverse and inclusive team leads to innovation and better problem-solving. We encourage applications from candidates of all genders, ethnicities, races, sexual orientations, disabilities, and backgrounds. Individual compensation packages are based on geographic location, scope of the role, relevant experience, and the ability to deal with complexity and problem solve within our organization, among other factors. All employees are required to provide proof of authorization to work in the U.S. within their first 3 days of work. Please note that the Company does not sponsor employees for work visas or permanent resident cards to work in the U.S. If you need sponsorship for a work visa or green card, you will not be qualified for employment with Saildrone. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Saildrone are considered property of Saildrone and are not subject to payment of agency fees. #LI-Onsite#LI-LP1

Revolutionizing ocean data collection with wind and solar-powered autonomous surface vehicles, driving better insights for a sustainable future.

Production Control Coordinator 

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

Consultant as Back-End Developer

Consultant, Power BI Specialist

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>

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

Staff ML Engineer

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>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

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

Climate change is real and we need to act fast. Our purpose is to restore the carbon balance in our atmosphere. We believe it’s important to have a positive impact on society, the economy, and the climate. Are you ready to join us on our mission? 🌎 Role Let’s start off by giving you some charcoal sketches on our team. Currently, the Carbyon team consists of 44 individuals (and counting!), coming from 11 different countries. Overarchingly, you could say there’s two main teams. On the one hand we have the team working on the sorbent (the material that adsorbs the carbon dioxide). On the other hand we have the machine development team, which essentially creates the machine to ultimately adsorbs and thus captures the carbon dioxide. Within the machine development team we have different competencies (varying from Mechanical to Electrical Engineering and from Control Engineering to Thermal). Also, and that’s where you’ll sit, there’s the Software Team (thanks, Captain Obvious!). Essentially, the focus of the Software Team is two-fold. They focus on design, development and deployment of the embedded machine control software. Besides, they develop support and analysis software for an ever-growing team of scientists. Looking at the software team, you could say that they have strong affinity with cloud development, data analysis and embedded software. As we’re a rapidly growing team, with a challenging technology roadmap ahead, we need you to join forces with the Software Team as our new Senior Software Engineer. Looking at the current stage Carbyon is in, you could say we start with greenfield development of a new machine, turning our capturing technology into a scalable machine concept.<div> </div> Responsibilities Being aware of the context you’ll work in by now, let’s shift into your responsibilities. As your responsibilities are a consequence of your personal mission, we’d like to firstly highlight your personal mission. Essentially, this’ll be to take a leading role in the development of the embedded software that controls our DAC-machine, collects data and connects to the cloud. Turning this into critical results, you’re primarily responsible for the creation of control software for our new machine, ensuring high flexibility and high reliability. Besides, you’ll help drive key technical decisions to create an optimal software platform. Last but not least, you’ll contribute to a culture where quality comes first. Although your role will be somewhat fluid, we’ve turned your personal mission and critical results into a list of responsibilities;<ul><li>Collaborate with other disciplines to translate product requirements into subsystem software requirements</li><li>Translate architectural concepts from design into scalable implementations of machine functionality</li><li>Design and establish foundational software layers, ensuring seamless integration and operation. Aim for the highest flexibility and robustness</li><li>Contribute to an environment that enables software testing to maintain high standards of quality and reliability</li><li>Stay updated on emerging technologies and industry trends relevant to embedded software engineering and pro-actively propose improvements with new insights from the outside world</li><li>Be an inspirational leader to junior software engineers</li><li>Operate both autonomously and as a key player within multi-disciplinary teams, fostering collaboration and championing innovative, top-tier software solutions and design</li></ul> Why join us? We are a purpose-driven team of international engineers, researchers, and business professionals. We do not get easily discouraged and we join forces to ensure our dream comes true. At the heart of it all, there are people inspired by our purpose: reversing climate change! We offer you to:<ul><li>Make a real difference in one of the biggest challenges of our time - reversing climate change.</li><li>Become an integral part of our fun, diverse and growing multicultural team.</li><li>Experience the dynamic and exciting environment of a startup - where there is never a dull moment.</li><li>Take ownership and actively participate in the decision-making process.</li><li>Share and implement your own ideas - we believe the best ideas can come from anywhere. </li><li>Enjoy flexible working hours and the freedom to manage your work effectively - we trust you.</li><li>Join the daily team walks at the inspiring High Tech Campus.</li><li>Engage in monthly team events and activities such as jeu de boules or barbecues, fostering a strong sense of community.</li><li>Receive a permanent contract and enjoy our recently improved attractive benefits package.</li></ul>As you’ll operate in a scale-up environment, it’s highly required to be a self-starter. You consider yourself being someone who leads by example. Furthermore, you’ll bring;<ul><li>Either a Bachelor’s or Master’s degree in Embedded Systems or Electrical Engineering</li><li>10+ years of industry experience</li><li>Expertise in architectural design, embedded device software engineering and integration into IoT platforms</li><li>A proven track record in designing robust software solutions, showcasing reliability and scalability</li><li>Broad experience with machine development </li><li>A system thinking mindset, showing advanced problem-solving capabilities, coupled with the ability to navigate fast-paced environments</li><li>Outstanding communication skills to foster collaboration with cross-functional teams and stakeholders.</li><li>The ability to thrive in a dynamic team environment, demonstrating an adaptable mindset, while enthusiastically embracing our startup's mission</li><li>Fluency in English, both spoken and written, to thrive in an international environment</li><li>You live within commuting distance from Eindhoven or you're open to relocate - because that’s where our magic happens</li></ul> About CarbyonAt Carbyon, we envision a future where fossil carbon is entirely replaced by atmospheric carbon. Our breakthrough technology enables extreme energy efficiency and low manufacturing costs, paving the way for a globally scalable solution. We value diversity and actively promote an inclusive culture where every employee feels valued and supported. We welcome applicants from diverse backgrounds and experiences, as we believe our diversified expertise is one of our strengths.  Are you energized by our purpose and want to work together on our mission? Send out your application, as we'd love to meet you!

Senior Software Engineer

Tomorrow.io’s Space &amp; Sensors team is responsible for the development of unique RF-based sensing systems, such as radar, radiometer and sonar, from architecture through implementation. The team is also responsible for the development of corresponding spacecraft and constellations in support of Tomorrow.io’s Operation Tomorrow Space, which will collect data to be integrated seamlessly into our existing forecasting and modeling systems, revolutionizing global weather intelligence.We are looking for a Senior AI&amp;T Engineer to join a cutting edge, multidisciplinary team to help us execute complex development programs.  Applications include, but are not limited to, weather and climate remote sensing, navigation and situational awareness, as well as enabling the most capable weather intelligence platform in the world.  As a Senior AI&amp;T Engineer at Tomorrow.io, you will play a critical role in hardware and sensor development through all phases of the development cycle: requirements gathering and definition, design, development, prototyping, implementation, testing, integration, calibration, and documentation.What you’ll do:<ul><li>Own the development of assembly, integration, and test (AI&amp;T) strategies for innovative new satellite and radar technologies at scale</li><li>Contribute to the creation of world-class weather satellites, airborne-based instruments, and ground-based sensing hardware</li><li>Work closely with mechanical, electrical, RF hardware, software, systems and test engineers within small engineering design teams</li><li>Assess risks associated with different integration and test approaches and clearly communicate mitigation and trade-offs</li><li>Develop and Execute Test Procedures using Test Like You Fly (TLYF)</li><li>Work with environmental testing houses to coordinate and perform environmental testing of satellite subsystems and assemblies</li></ul>What you bring:<ul><li>B.S. in Engineering or Technical Discipline with multiple roles open at varying levels of seniority and experience. 7+ years minimum relevant experience or M.S. degree in electrical engineering or related discipline with 5+ years minimum relevant experience</li><li>Strong communication and technical writing skills and ability to work well collaboratively in a team environment as well as independently.</li><li>Experience with satellites or satellite subsystems</li><li>Familiarity with all aspects of the satellite system design life cycle, including spacecraft level environmental testing and launch environments</li><li>A strong systems perspective in understanding the relationship between subsystems; requirements, ICDs, design for manufacturing, etc. </li><li>A self-starting leadership approach to apply strong analytical and problem solving skills to operate both as an individual contributor and as owner of a design.</li><li>Experience with writing, performing, and documenting tests</li><li>Experience with environmental testing (Vibration, TVAC, EMI, Radiation)</li><li>Experience organizing test campaigns from initial idea to completion</li><li>Familiarity with aerospace testing standards such as GEVS, etc.</li><li>Experience using software to test (python preferred)</li><li>Experience designing or building harnesses for flight or test</li><li>Experience setting up GSE for testing</li><li>Breadth of experience in manufacturing and integration cost reduction and schedule management</li><li>Experience with RF and/or sonar system assembly, integration, and test</li></ul> So if your passion is to design a cutting edge next-generation RADAR to provide weather intelligence to the world and have fun while doing so, then this team is for you.If you have reached this point and you are super excited but not sure you check all the boxes - we still want to speak with you! Your passion is priceless. Other things can be learned.This position requires access to technology that is controlled under U.S. export control laws and regulations. Accordingly, this position is restricted to U.S. citizens, permanent residents and protected individuals unless and until any required licenses are obtained.Tomorrow.io is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Tomorrow.io participates in the E-Verify program in all US states, as required by law.At Tomorrow.io we have established a workplace culture that values fairness and equal opportunities and we believe it is crucial for fostering a positive and productive environment. Regularly reviewing and adjusting pay practices to align with legitimate drivers of pay, such as job level, geographic location, and performance, demonstrates a commitment to maintaining equity within the organization.This commitment to ongoing assessment and improvement is key to creating a workplace that is not only diverse and inclusive but also fair and just. Anticipated salary range for this role is $130k-$160k subject to local market and candidates skills and experience. Comprehensive health benefits, unlimited paid time off and other benefits included. Relocation assistance may be offered/available for certain roles.Tomorrow.io is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at jobs@tomorrow.io<hr>About Tomorrow.io:Tomorrow.io is helping Countries, Businesses and Individuals better manage their Climate Security Challenges. Fully customizable to any industry impacted by the weather, customers around the world including Uber, Delta, Ford, National Grid and more use Tomorrow.io to dramatically improve operational efficiency. Tomorrow.io was built from the ground up to help teams predict the business impact of weather, streamline team communication and action plans, improve productivity, and optimize profit margins.Space: In case you have not heard, we are also going to space with our Operation Tomorrow Space initiative. We are building the first-of-its-kind proprietary satellites equipped with radar, and launching them into space to improve weather forecasting technology for everyone on Earth. Ethos:  Our ethos guides us in everything we do - The people of Tomorrow are here to make an impact, they show true grit, and always put people first.How we roll: We believe that magic happens when people work together. The People of Tomorrow take ownership with a bias for action. We believe in transparency and directness, putting work before ego, and empathy. The People of Tomorrow have a can-do attitude, are resilient, and curious. They are growth oriented, value people striving to be experts, and love to have fun. Here, your success is achieved by your impact and deliveries and not by the hours you put in. We have flexible hours and unlimited vacation days policy. The People of Tomorrow show empathy, mutual respect and work as one diverse team. We grow fast and move faster but we always see people first. Each person has their own career growth path for we believe that the only way for the company to grow is if you grow.

Unlock the power of weather intelligence for enhanced operations and increased profitability with Tomorrow.io.

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