Research Engineer
Krea · AI
unknown
Salary Range (USD)
Negotiable
Location
San Francisco, USA
Visa Support
Not mentioned
Funding Stage
series A
Job Responsibilities
- • Large-scale multimodal model training
- • Distributed training
- • 1000+ k8s GPU clusters
- • Petabytes of data pipelines
Engineering Culture & Tech Stack
WebGL2WebGPUk8sGPU clusters
research
engineering
creativity
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Krea; Fulltime; Onsite, San Francisco, CA, USA.
I'm the cofounder of Krea (https://www.krea.ai/). We build creative tools and large-scale infrastructure for multimedia teams. Users range from hobbyists to world-renowned creatives: architects behind the World Trade Center or creative teams at Apple.
We treat research, engineering, and creativity as first-class citizens; we want engineers for our research, product, and supercomputing teams.
What we value (staff writings):
- AGI: https://www.matthewnewton.com/blog/arc-challenge-diffusion
- Diffusion research: https://re-n-y.github.io/devlog/rambling/steering/
- Pragmatic LLM reflections: https://maxemitchell.com/writings/i-read-all-of-cloudflares-...
- Low-level computing: https://gab-menezes.github.io/2025/01/13/using-the-most-unhi...
- Open-sourcing our research: https://www.krea.ai/blog/flux-krea-open-source-release
Some of our projects:
- Large-scale multimodal model training (e.g. distributed training, 1000+ k8s GPU clusters, petabytes of data pipelines, ...)
- WebGL2/WebGPU for node-based tools (SideFX Houdini) & CRDTs/OTs for collaboration
- Cross-service metrics, tracing, and observability
- LLM-driven JS bundle optimization and testing
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Apply via `ssh apply@krea.engineering`
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