Research Engineer - Multimodal AI

Orbifold AI is redefining how the world builds and scales multimodal AI by pioneering intelligent data curation and workflow engines. As a Research Engineer, you will develop advanced AI models and optimize data platforms to transform unstructured datasets into high-quality inputs for training and reinforcement learning. Your contributions will drive breakthroughs in multimodal AI, expanding the capabilities of visual models across industries.

Responsibilities:

• Develop, implement, and maintain MoE models, data pipelines, batch inference operating at internet scale, processing large, multimodal datasets including images, text, and videos
• Integrate the latest research methods into our multimodal models and data distillation platform, ensuring high standards of data accuracy, relevance, and diversity
• Innovate and experiment with new SOTA models and data curation techniques to maximize the quality and efficiency of training advanced multimodal models
• Continuously improve data & AI infrastructure to support scalability and flexibility as models and data requirements evolve