Stable Diffusion Engineer
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
- 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
- Startup experience
- Advanced degree in a relevant field