ResiQuant is at the forefront of revolutionizing how we understand and assess buildings' exposure to natural disasters. As a pioneering company in the property risk intelligence space, we're seeking a Founding Lead AI Engineer to spearhead our computer vision and vision-language model initiatives.
This role represents a unique opportunity to join a mission-driven startup that's already trusted by leading earthquake insurers in the United States. You'll be working at the intersection of AI, structural engineering, and disaster resilience, leading a team that develops cutting-edge solutions to protect lives, property, and livelihoods.
As the Lead AI Engineer, you'll be instrumental in designing and implementing advanced AI models that analyze building data through expert lenses. You'll work directly with the founders, managing a team of engineers while maintaining hands-on involvement in technical development. The role demands both technical excellence and leadership skills, combining expertise in computer vision, LLMs, and machine learning with team management capabilities.
The ideal candidate brings at least 4 years of experience in computer vision and vision-language models, preferably with a Ph.D. in Computer Science. You should be passionate about applying AI to real-world challenges, comfortable with Python and modern ML frameworks, and excited about working in a fast-paced startup environment.
We offer a competitive package including equity, 401(k) with matching, and health insurance. More importantly, you'll have the opportunity to shape the future of disaster resilience technology while working with a team of passionate individuals committed to making a difference in the world. If you're ready to lead technical innovation in a field that directly impacts global resilience to natural disasters, this role at ResiQuant could be your next career-defining move.