Build context engineering pipelines, agentic workflows with tool usage, and robust evaluation frameworks. Analyze model behavior, creating high-quality evaluation datasets to identify weaknesses and guide performance improvements. Enhance serving and evaluation infrastructure to power new user-facing features. Act as a technical bridge between engineering, product, UX, and research teams to translate user needs into valuable features. Analyze user metrics and model outputs to enhance personalization and overall system helpfulness.
Job description provided by Google.
View the original posting
