Terrafuse is revolutionizing climate and weather modeling with AI technology that's 1000x faster and 100x cheaper than existing solutions. The company combines academic expertise in climate science and machine learning, developed at Lawrence Berkeley National Lab and supported by prestigious institutions like NSF, NASA, DoD, and Microsoft AI for Earth.
The company's mission is to develop a Queryable Earth, integrating cloud-native Earth observation and climate data with AI for actionable climate insights. Their initial focus is on wildfire and wind risk assessment, addressing critical challenges in insurance and environmental protection. Their wildfire risk model has already proven successful in predicting Los Angeles fires.
As an Environmental Engineer Intern, you'll join a team working on cutting-edge environmental solutions. The role combines environmental engineering expertise with modern technical skills in Python and GIS. You'll contribute to validating catastrophe risk models, analyzing environmental datasets, and creating impactful visualizations that help clients make informed decisions.
This position offers unique exposure to the intersection of AI, climate science, and environmental engineering. You'll work with a team of passionate professionals while gaining hands-on experience with real-world environmental challenges. The role provides flexibility with part-time hours and opportunities for professional growth through mentorship and development programs.
The ideal candidate will bring strong technical skills in Python and GIS, combined with an understanding of environmental engineering principles. This internship offers a chance to contribute to meaningful work that directly impacts disaster preparedness and environmental protection while developing expertise in an emerging field at the intersection of technology and climate science.