Full Job Description
We\'re still a small team-which means high ownership, high equity, and the chance to shape the product from the ground up.
VLAs and other great \"base policies\" for robotics achieve ~80% success rates, but in real robot deployments, it\'s essential to achieve 99.99% success rates. We can\'t ask our customers to tolerate our robots packing three socks into a bin instead of four, or swapping shipping labels between two packages-not even once!
You should apply for this role if:
- You\'ve architected and trained large-scale video/world models (ex. Sora, Veo)
- You\'ve turned generative models into controllable simulators: action-/state-conditioned rollouts
- You\'ve built the data & eval stack for world modeling to quantify downstream policy success
You\'d be joining a company that already has a solid core business-with working hardware, delighted customers, and profitable unit economics. Reflex is de-risked enough to see the hazy outlines of success, but still small enough that there\'s enormous upside up for grabs.
This is a rare opportunity to help build a flagship robotics company from the ground up-and to do work that will truly matter, reshaping what people believe is possible in robotics.
We love to see the things you\'ve worked on. Have a portfolio or insane project you\'ve worked on? Share it. We\'re looking for people who push past the status quo, are passionate at work and in their own time-we\'re looking for people who want to win.
