The Team Behind Illumix
Building the infrastructure for spatial AI, from research to production.
We bring together expertise across computer vision, multimodal AI, edge deployment, 3D systems, and platform development, with a track record of turning advanced research into differentiated consumer and enterprise products.
Senior-Level Engineering
18+ years of average experience shipping at consumer and enterprise scale
A Team That Has Built and Shipped Together
3.8 years average tenure at Illumix, with a track record of delivering from research through production
World-Class Backgrounds
Experience leading and building core systems at top technology companies and research institutions
Kirin Sinha
Admitted to MIT at 16, Kirin earned degrees in Mathematics, Computer Science, and Electrical Engineering. As a Marshall Scholar, she completed graduate degrees at the University of Cambridge and the London School of Economics, with a focus on artificial intelligence.
Kirin has been active in computer vision research and augmented reality development since 2014. While earning her MBA at Stanford, she founded Illumix to bring AI systems into real-world environments.
Meet the Team
Michael brings over 30 years of experience directing and building core systems at companies including Apple and Disney. At Illumix, he leads engineering and oversees the architecture that unifies our spatial AI capabilities into a complete, production-ready platform, from SDK design to enterprise deployment infrastructure.
Michael is a Stanford-trained AI researcher with 8 years of experience at the intersection of computer vision and machine learning. At Illumix, he architects the integration between our spatial perception systems and multimodal AI, enabling real-time contextual intelligence across devices.
Ethan specializes in building high-performance computer vision systems for edge deployment. At Illumix, he developed core infrastructure for ML inference across hardware architectures and engineered novel approaches to on-device localization that maintain accuracy at scale under strict compute and memory constraints.
Part of a focused team of 25 with 350+ years of combined experience across AI, AR, and 3D systems.
Join Us
We're a team that does both: pushing the boundaries of research in AI and computer vision, and turning that research into products that deploy at massive scale.
View Open Roles →San Francisco & London