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

Raw Post

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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 --- Apply via `ssh apply@krea.engineering`

AI Risk Insights

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