Overview
Across the globe, rapid urbanization and escalating climate change impacts are driving skyrocketing risks from disasters like earthquakes, hurricanes, and wildfires—yet exposed building inventories are unstandardized, static, and incomplete, preventing decision making across verticals, from public policy to real estate transactions. Decision today is made with incomplete and even wrong property information.
At ResiQuant, we're on a mission to empower insurers, financial institutions, and asset managers with AI systems trained on structural engineering domain knowledge that can fill in the gaps and provide engineering-relevant building characteristics.
Founded by Stanford PhDs and backed by Pear VC, ResiQuant is driven by an unwavering commitment to protect communities and businesses from the devastating impacts of disasters. We believe that every organization deserves access to best-in-class property risk intelligence to build resilience against the storms to come—and we won't stop until this is the norm, not the exception.
About You
We're seeking an individual who is passionate about the mission of the company to join us as an AI Research Engineer with a focus on computer vision and vision-language model fine tuning. We prize candidates that are motivated by a mission driven enterprise and are ready to help foster an inclusive and collaborative culture. As a lean seed startup, we need someone with a scrappy, hands-on approach, eager to evolve alongside our team, and support the company in all stages of growth. The ideal candidate is excited to apply their knowledge in machine learning, LLMs, and computer vision, to shape the trajectory of a groundbreaking company.
Start date : Immediate
Qualifications
What will make you stand out
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What we offer
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Ai Engineer • San Francisco, CA, United States