Job Title
Ambitious Researchers and Engineers sought to innovate in AI model evaluation.
* We are looking for talented individuals to engineer cutting-edge agentic evaluation systems that utilize Multimodal Large Language Models (MLLMs) to assess the quality, relevance, and human alignment of generated designs.
About the Role:
This position focuses on designing, building, and optimizing infrastructure for scalable automated feedback. You will master techniques that improve model outputs without full retraining but by inference-based methods including prompt engineering, in-context learning and Retrieval-Augmented Generation (RAG).
* Data-driven methodologies transforming user analytics into clear actionable insights
* Practical experience with Generative AI models GANs Transformers informing robust evaluation strategies