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Stable Diffusion Engineer

  • Closed
  • US Company | Micro (1-10 employees)
  • LATAM (100% remote)
  • 5+ years
  • Full-time (40h)
  • Interior Design
  • Full Remote
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Required skills

  • Python
  • AWS
  • CI/CD
  • Deep Learning
  • ComfyUI
  • Automatic1111
  • SDXL
  • ControlNet

Requirements

Must-haves

  • 5+ years of Python experience
  • 2+ years of experience as a deep learning engineer
  • Experience building at least one public AI extension/application/project
  • Experience building Automatic1111/ComfyUI extension or Python native apps using SDXL
  • Experience with cloud infrastructure and training (RunPod, AWS, etc.)
  • Experience with management project tools (Shortcut, Jira, Linear) and documentation tools (e.g. Notion)
  • CI/CD experience (Gitlab, GitHub, Git, code management, versioning, etc.)
  • Understanding of Diffusion, Zero-Shot, Torch, CUDA, TensorFlow
  • Understanding of hardware acceleration (Stable Diffusion, SAM, LLaVA, Mistral, Groq, etc.)
  • Strong communication skills in both spoken and written English
  • Bachelor's Degree in Computer Engineering, Computer Science, or equivalent

Nice-to-haves

  • Startup experience
  • Advanced degree in a relevant field

What you will work on

As a Stable Diffusion Engineer, you will play a crucial role in developing the ability to control image generation dedicated to our industry.

Using Python and all the diffusion libraries and extensions, you will create a pipeline that can understand, edit, and create photorealistic images.

  • Train SDXL, ControlNet, and dedicated models
  • Track cost of development, cost of production, and cost of training
  • Use and edit tools like Automatic1111 and ComfyUI for product needs
  • Collaborate with the CTO to implement a full set of features
  • Collaborate with product team to propose innovation and solution
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