Terrafuse is building AI technology that accelerates climate physics models from hours on a supercomputer to seconds in the cloud, greatly improving our ability to protect against disastrous impacts of climate change and plan renewable energy infrastructure.
Climate change is projected to displace hundreds of millions of people and cause trillions of dollars in damage by 2050. Protecting people and infrastructure against the damage is only possible with accurate and granular risk models, because broadly protecting all areas is too expensive. For example, increased frequency of wildfires is forcing insurers out of California - however, with our product that accurately quantifies wildfire risk property by property, it becomes economical for them to continue providing coverage.
Additionally, our wind product helps optimize global wind energy production, which is growing 20% year over year as the world transitions to a clean energy economy.
Our technology combines our academic expertise in climate science and machine learning, developed from our work at Lawrence Berkeley National Lab and supported by the National Science Foundation, the U.S. Department of Defense, and Microsoft AI for Earth. Our customers include corporate and government players in the insurance, aviation, and clean energy industries.
The position
Climate science and ML experts on our team have developed machine learning models that greatly outperform the wildfire and wind risk analytics products most commonly used in the market today. Your role will be to deliver the frontend software tools for insurance, aviation, and energy agency customers to consume these forecasting models. You will collaborate cross-functionally with our Principal Software Engineer, ML engineers, CTO, and CEO to prototype and iterate.
Our HQ is in the San Francisco Bay Area but this position is open to remote work anywhere in the US.
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What we offer
Terrafuse is committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental responsibilities, we firmly believe that our work is at its best when everyone feels free to be their most authentic self.