90% of purchases happen in stores, with in-store checkouts totaling more than 20 trillion dollars a year.
We're building the future of checkout to completely remove any friction for these transactions. Walk in, grab stuff, and leave. Our system figures out what you grab and charges you automatically, freeing shoppers and stores from the billions of human hours spent on checkout each year. Our system is 100% machine vision and is designed to be deployable to millions of stores without major renovation.
Checkout what our real-time inference engine looks like https://lnkd.in/gUsMXB5
This is one of the most complex challenges in machine vision and we're looking for great people to help us tackle it.
We're looking for strong senior engineers that love to jump around for a variety of roles, including backend, frontend, tooling, devops, and research. If you're interested in the challenge I'd love to chat.
Our stack: Python, cython, tensorflow, js/react/react-native
https://angel.co/standard-cognition/jobs
Contact me at jordan [at] standard [dot] ai