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Описание: |
We’re hiring a ComfyUI Workflow Architect for a Swedish AI Film Production startup.
About company:
We are building the future of animation and digital IP creation. We combine world-class storytelling with cutting-edge AI tools to produce high-quality animated content at scale for YouTube, TikTok, streaming platforms, and global licensing partners.
We are now looking for a ComfyUI Workflow Architect — someone who lives and breathes pipeline design, prompt engineering, and multi-model orchestration — to help push our productions to the next level.
What You’ll Be Doing:
* Design and optimize production-scale diffusion model pipelines: Image-to-video synthesis architectures
* Style transfer, LoRA adaptation, and identity-preserving generation
* Multi-stage conditioning systems (depth, pose, optical flow)
* High-resolution upsampling and noise reduction pipelines
* Develop custom model components: fine-tune ControlNets, train domain-specific LoRAs, implement custom attention mechanisms and conditioning layers
* Collaborate with production engineers to ensure visual consistency through latent space control, embedding management, and multi-shot coherence strategies
* Integrate ML pipelines with training infrastructure, model versioning systems, and asset management tools
Requirements:
* Speaking English on B2-C1 level
* Deeply experienced with ComfyUI’s model architecture and node-based inference graphs (required)
* Strong foundations in computer vision and diffusion models: DDPM, DDIM, latent diffusion, conditioning mechanisms
* Proficient with ControlNet, LoRA, and custom conditioning architectures
* Expert in PyTorch/CUDA optimization: memory management, kernel fusion, distributed inference
* Strong communicator able to bridge ML engineering and production requirements
Bonus Points For:
* Custom PyTorch node/operator development for ComfyUI or contributions to the ComfyUI ecosystem
* Published research or novel implementations in generative models, video synthesis, or controllable generation
* Model fine-tuning and training pipelines: experience with distributed training, LoRA/DreamBooth workflows, or dataset curation
* MLOps infrastructure: experiment tracking, model versioning systems, automated evaluation pipelines
* Low-level optimization: custom CUDA kernels, quantization strategies, or inference acceleration techniques
* Adjacent pipeline experience: real-time rendering engines, VFX compositing systems, or production asset management
* Perceptual quality modeling: experience with CLIP embeddings, aesthetic scoring, or automated quality assessment
Working schedule: 9:00-17:00 European time
Socials package: TBA
Please don’t forget to:
1. Attach your portfolio or anything else you have to share
2. Send your desired gross monthly salary in USD
3. Tell us about your experience related to ComfyUI and other skills related to the job description
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