Principal Research Engineer, AI Systems, DeepMind
Google, Mountain View, California
About the job
Minimum qualifications
- Bachelor's degree in related technical field, or equivalent practical
experience.
- 15 years of experience in engineering or related function.
Preferred qualifications
- Experience with the modern LLM stack (e.g., agent architectures and
harnesses, multi-agent swarms, post-training/fine-tuning/RL, or large-scale LLM evaluation).
- Experience in software engineering, systems infrastructure, or AI/ML modeling
using Python and C++.
- Experience with technical leadership and driving multi-team, cross-functional
projects from inception to delivery.
- Experience in information retrieval, search and ranking systems, clustering,
or large-scale data processing infrastructure.
About the job
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.
