VLM Engineer

Highlights

• Join team behind Falcon models to advance cutting-edge large language models.
• Run vision model ablation studies to shape next-gen architecture decisions.
• Build robust evaluation for vision-language models across real-world scenarios.

Ideal candidate

A curious, collaboration-driven researcher fascinated by vision-language alignment who loves rigorous experimentation and turning scientific discovery into real-world AI breakthroughs.

Requirements

• Expertise in machine learning, particularly in vision-language models and LLMs
• Strong understanding of model architectures like CLIP and their application in vision language tasks
• Proficiency in distributed training techniques and multi-GPU optimization
• Experience with deep learning frameworks (e.g., PyTorch)
• Strong analytical skills for conducting ablation studies and evaluating model performance
• Familiarity with dataset curation and processing for vision and language tasks
• PhD degree in deep learning
• Proven track record of research and development in vision-language models
• Publication record in top-tier conferences is highly desirable