{"id":2928466,"url":"https://alion.io/job/kobold-metals-staff-applied-scientist-hyperpod","title":"Staff Applied Scientist - Hyperpod","company":{"id":178039,"name":"KoBold Metals","domain":"koboldmetals.com","url":"https://alion.io/company/kobold-metals","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":28,"ghost_share":0.179,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":127,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":{"min":125000,"max":235000,"currency":"USD","period":"year","gross":null,"usd_annual":235000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-06-18T21:29:17Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-25T03:50:12Z","board_verified":true,"closed_at":null,"days_open":128,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":128},"description":"About the company: \nIn the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered.\nKoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs-by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects.\nOur first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations.\nKoBold runs exploration programs in eight countries, all with the potential for another discovery.\nKoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi.\nAbout The Role:\nIn this role, you will develop state of the art instruments to collect data to guide our exploration programs. You will simulate, characterize, and calibrate sensor performance and design new data acquisition systems. Working with vendors and partners, you will build hardware and work with our operations staff to deploy it in the field. \nWith this sensor data and other data sources at KoBold, you will build models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will be creating models and developing software to accelerate discovery of critical battery metals.\nYou will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will identify new opportunities and technologies for geophysical data collection, create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.\nUltimately, your role is to help KoBold make valuable discoveries by building and deploying next generation hardware and using data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.\nResponsibilities of this position include:\nTechnical execution\nDesign, develop, and deploy new mineral exploration data collection instruments and methods.\nHelp develop KoBold’s proprietary software exploration tools.\nFind and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.\nBuild models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.\nCreate effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.\nDevelop 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.\nPresent to and collaborate with our external partners and stakeholders.\nPush the state of the art in analysis capabilities by implementing statistically rigorous spatially aware clustering, anomaly detection, and other analysis methods\nCollaborate with data scientists, geoscientists and engineers to invent and deploy algorithms that combine large and complex data sets for mineral exploration and discoveries \nQualifications\nDemonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional setting.\nExceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologies.\nA successful track record of developing complex equipment with cross-disciplinary teams and vendors.\nTechnical skills, including extensive experience with:\nPhysical measurement and data analysis systems that use phenomena such as optics, electromagnetism, radiation, and gravity. \nApplying scientific knowledge to identify and prototype emerging technologies\nSystems integration and data acquisition.\nPython’s data science packages and general software engineering practices.\nCollaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.\nSQL, as well as familiarity with non-relational databases.\nCloud computing resources.\nBuilding a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results.\nData analysis, physics analysis, and applied statistics on a broad range of types of data including data from physical systems.\nCapacity 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\nExperience deploying sensors in the field\nWork practices and motivation:\nAbility to take ownership and responsibility of large projects.\nIntellectual 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.\nAbility 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.\nExcitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.\nKeen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.\nAbility to independently prioritize multiple tasks effectively.\nIt is also helpful but not required to have experience with:\nRemote sensing\nCreating machine learning models on geospatial data\nImage processing or computer vision\nProject and team management\nWhat to Expect\nJoining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field.\nKoBold 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.\nThis position is Full-time Exempt\nSalary is one part of KoBold’s total compensation. The US salary range for this role is between $125,000 and $235,000, and will depend on your skills, qualifications, experience, and location. In addition to salary, we offer equity compensation. We also offer benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer paid sick time and parental leave.\"\nLocation: Remote, Candidates can be located anywhere in the United States or Canada. All candidates must be legally authorized to work in the United States or Canada. 10-20% travel required.\nCompensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.","description_format":"text","description_chars":9389,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Life insurance","Parental leave","Retirement plans","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Mining","Rare Earth Metals"],"lifecycle":[{"event":"open","at":"2026-10-20T14:04:28Z"}],"visa":[],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.698,"p_room":0.44,"age_days":128,"expected_fill_days":127,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-25T05:49:26Z"},"pay":{"stated_usd_annual":235000,"is_top_pay":false},"html_url":"https://alion.io/job/kobold-metals-staff-applied-scientist-hyperpod","json_url":"https://alion.io/job/kobold-metals-staff-applied-scientist-hyperpod.json","meta":{"generated_at":"2026-10-25T06:17:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8635,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":178039},"rest":"https://alion.io/mcp/rest/get_company?id=178039"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkobold-metals-staff-applied-scientist-hyperpod"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fkobold-metals-staff-applied-scientist-hyperpod"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fkobold-metals-staff-applied-scientist-hyperpod"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/kobold-metals-staff-applied-scientist-hyperpod\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkobold-metals-staff-applied-scientist-hyperpod"}]}