AO Labs | real-time reinforcement learning | https://www.aolabs.ai/ | SF, CA + remote

AO Labs is an applied AI research lab building real-time reinforcement learning, unlocking AI that can be hyper-personalized with less data than LLMs.

Our first product is an API that learns by combining end-user context, application data, and a feedback signal (eg. an end-users' likes and dislikes) in a fast learning loop that's lightweight enough to provision a distinct agent per-user. There's no gap between training and inference-- train at the edge, learn all the time.

With our framework we increase training efficiency and also combine the static pre-trained intelligence from LLMs with continuous training to learn local contexts. AI progress is bottlenecked by backpropagation, which necessitates labelled data to set the ground truth while also leaving a gap between training and inference that result in increasingly larger, more homogenizing models.

We are hiring for applied researchers & various engineering roles– please reach out to ali@aolabs.ai

Do you hire remotely worldwide or US only?