We are looking for Senior CV Engineer.

Your main tasks will be:

Train and fine-tune generative models (text2image, image2image, video2image, IP-adapters) to produce photorealistic and stylized visuals

Work with image classifiers, rankers, and image/video captioning models that understand visual context

Track cutting-edge CV research and open-source developments; translate them into a CV roadmap for the ML team

Build and own the iterative model improvement process, including quality validation systems for CV outputs

Optimize inference performance: diffusion optimization, quantization, kernel and framework-level work

Optionally: train multimodal AI companions that combine CV and NLP for deeper visual understanding

We expect from you:

5+ Years of experience training diffusion models and modifying their architectures

Proficiency with diffusers and transformers libraries

Hands-on experience with IP-adapters

Backend engineering experience (Python, Go, C#) and knowledge of scalable deployment systems is an advantage

Nice to have:

Flow matching training

Diffusion model distillation

DPO and other text2image fine-tuning approaches

Text2video and CLIP fine-tuning

Experience with multimodal LLMs

NLP / LLM training and chatbot development background