Staff Applied Scientist focused on architecting and scaling AI guardrails and safety systems for generative models across multimodal platforms (image, video, audio). This role involves data-centric safety, detection, feedback-driven improvements, and translating research into production-ready systems, with a strong emphasis on ML systems architecture and responsible AI deployment.

Internship role focused on building and implementing evaluation frameworks for AI Assistant quality, including automated pipelines using LLM-as-a-judge and classical ML models, and analyzing user interaction data to understand AI performance and failure modes. The role involves working with AI-powered product assistants within Adobe Experience Platform.