Job Description

Terrafuse is building AI technology that makes climate and weather modeling 1000x faster and 100x cheaper than any other product on the market, unlocking fundamentally new use cases in climate risk and other business domains. Our technology combines academic expertise in climate science and machine learning, developed at Lawrence Berkeley National Lab and supported by NSF, NASA, the U.S. Department of Defense, and Microsoft AI for Earth. Our vision is to develop a Queryable Earth, where cloud-native Earth observation and climate data are combined with AI to produce actionable insights into climate risks for businesses and society. Our starting points are wildfire and wind. Extreme wildfire conditions have increased by 50% in recent decades due to climate change, affecting insurance industries' ability to predict losses accurately. Our product enables precise insurance pricing, making coverage economically feasible again. Our clients include government agencies in aviation and clean energy sectors. We have developed a groundbreaking wildfire risk model that accurately predicted the Los Angeles fires and continues to forecast future events. This technology is vital for disaster preparedness and response, and your work as an intern could directly contribute to saving lives and reducing environmental damage. Role Overview We seek a highly skilled and motivated Environmental Engineer Intern to support critical projects using Python and ArcGIS to analyze environmental data, contributing to impactful solutions for our clients. This role is ideal for someone with strong technical expertise in environmental engineering, data analysis, and GIS. Location Remote or San Francisco Bay Area Status Part-Time Internship Key Responsibilities Validate machine learning-based catastrophe risk models and assess their compliance with environmental and client standards. Analyze and process environmental datasets using Python and ArcGIS. Create visualizations and maps for risk models. Contribute to reports and presentations with clear, actionable insights from data analysis. Qualifications 5-7 years of experience in software engineering, environmental engineering, data science, or related fields, including academic and professional experience with GIS and data analysis. Proficiency in Python for data analysis, visualization, and modeling; knowledge of other programming languages is a plus. Strong knowledge of ArcGIS or QGIS, including spatial analysis and data management. Familiarity with validating catastrophe risk models and understanding their implications. Excellent problem-solving skills and attention to detail. Effective communication and teamwork skills. Preferred Qualifications Experience in building machine learning models. Experience with cloud-based GIS solutions and data platforms. Knowledge of environmental applications of machine learning or statistical modeling. Familiarity with additional programming languages such as R or tools like QGIS. Undergraduate degree in a technical discipline such as data science, computer science, environmental engineering, or electrical engineering. What We Offer Flexible part-time hours to fit your schedule. Hands-on experience on impactful environmental projects. Opportunity to work with passionate professionals in a dynamic environment. Mentorship and professional development to advance your career. Application Process Submit your resume, a cover letter highlighting relevant experience, and a portfolio or samples of previous work. Applications are reviewed on a rolling basis. Terrafuse AI is committed to diversity and inclusion. We encourage candidates from all backgrounds to apply and join us in our mission to drive sustainable change. #J-18808-Ljbffr Terrafuse AI

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