Middle / Senior GenAI Engineer

Tasks:

• Training and fine-tuning LoRA adapters for diffusion-based models (image / video)
• Working with open-source models (Stable Diffusion, SDXL, video diffusion, and similar)
• Assembling end-to-end generation pipelines
• Dataset preparation (curation, cleaning, augmentation, labeling)
• Inference optimization (speed, memory, quality)
• Conducting experiments: comparing approaches, hypotheses, improving generation quality
• Interacting with product and engineering teams to implement solutions in production

Candidate Requirements:

• Commercial experience in Computer Vision for 3+ years
• Practical experience with diffusion models for 1+ year
• Real-world experience training LoRA (hands-on)
• Understanding of diffusion model architectures (UNet, VAE, conditioning, etc.)
• Experience with GPUs (CUDA, training / inference optimization)
• Ability to independently bring experiments to a successful outcome

Will be a strong plus:

• Own public works, pet projects, or contributions to open source
• Experience with video generation models
• Participation in Kaggle / ML competitions

What we offer:

• Project-based employment with flexible work arrangements
• Minimal bureaucracy, quick decisions
• Direct collaboration with a strong technical team
• Opportunity to influence solution architecture
• Potential to grow into a full technical role within the company