I'm the cofounder of Krea, a startup in San Francisco building browser-based AI creative tools to improve the workflows of artists, designers, and creatives. Small team (~15); millions of active users; and we've raised over $83M from top silicon valley firms. We're looking for talented engineers who want to tackle hard technical challenges with smart people while building a creative platform that big companies and startups will rely on. The job: - Build distributed systems to process massive (billions of files, petabytes), amounts of image, video, and 3D data, solving scaling bottlenecks as you go. - Work with our research team to build ML pipelines and deploy models to make sense of raw data (example - find clean scenes within videos). - Learn ML engineering from world-class researchers on a small tight-knit team. As you’re building data pipelines, you’ll contribute to foundation image, video, and world models from 0 → production, and see them used by millions of Krea users. - Play with massive amounts of compute on huge Kubernetes GPU clusters; our main GPU cluster takes up an entire datacenter from our provider.

krea.ai

Roles

Tech stack

Location

Work setup

Contact

Description

Similar jobs