Principal Research Engineer, AI Systems, DeepMind

Going beyond standard long-context retrieval, we are developing the Agera Kernel—a scalable engine designed for "pre-computation of expertise." The system leverages map-reduce style processing, agentic exploration, and persistent memory states to allow models to ingest, structure, and deeply understand complex domains prior to user interactions.

By combining automated domain pre-computation with expert human calibration in Agera Studio, we aim to produce specialized Expert Models that significantly outperform foundational models on intricate, multi-turn tasks.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.