Member of Technical Staff - Multimodal VLM/LLM

Demonstrated expertise in training and fine-tuning large-scale vision-language models. Strong publication record or practical experience with relevant projects in multimodal AI research. Proficiency in PyTorch or similar deep learning frameworks. Experience with distributed training systems and large-scale model optimization. Track record of implementing and scaling AI models in production environments.

Run the development and training of state-of-the-art multimodal vision-language models within the FLUX technology stack. Design and implement specialized fine-tuning strategies for VLMs. Drive innovation by integrating VLM/LLM capabilities into our media generation pipeline. Conduct research to combine vision and language models for enhanced capabilities. Maintain cutting-edge knowledge in multimodal AI and LLM research. Evaluate emerging models for potential integration. Collaborate with cross-functional teams for model implementation and deployment. Contribute to architectural and technical planning. Document and share research findings.