krea.ai | Distributed Systems Eng. & Data Engineers

Location: San Francisco (on-site), CA

Salary: $200K-$400K

About

I'm the cofounder of Krea (https://www.krea.ai), a startup in San Francisco building browser-based AI creative tools to improve the workflows of artists, designers, and creatives. We have a 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.

Tech Stack: python, pytorch, k8s, a rotating cast of data tools (e.g. DuckDB, massive relational dbs, PyArrow, etc.)

Requirements

You should apply if you are an excellent generalist engineer with strong backend experience and an intuition for systems design.

Bonus points for:

Deep experience with distributed systems
Kubernetes experience
Existing ML or data experience (though not required!)
Cool side projects are a green flag.

Contact

You can contact me at d+hn@krea.ai (the +hn will bump your email in my inbox).

krea.ai | Distributed Systems Eng. & Data Engineers | San Francisco (on-site), CA | $200K-$400KI'm...