Opportunity Description
We are looking for an Engineer to build the training infrastructure, data pipelines, and inference optimization systems for state-of-the-art Diffusion Transformer (DiT) models. This role focuses on scaling the fine-tuning and deployment of models like Qwen , Wan , and LTX-2 .
Key Responsibilities
- Training Infrastructure: Design and maintain scalable pipelines for training and fine-tuning Diffusion Transformer models on large-scale GPU clusters.
- Model Optimization: Optimize the inference performance of Wan , LTX-2 , and Qwen (Vision) using quantization, pruning, and hardware-aware tuning (e.g., TensorRT, FlashAttention).
- Data Engineering: Develop efficient ingestion and preprocessing pipelines for high-resol...
Ready to Apply?
Submit your application for Generative AI Researcher – Image & Video Diffusion at Lexlegis AI
Apply for this Position