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Job Description
- Define and pursue a long-term applied research agenda to overcome fundamental limitations of LLMs in long-horizon reasoning, planning, and tool use for complex software engineering tasks.
- Design and implement novel agentic architectures, exploring frontiers such as automated workflow optimization, multi-agent decomposition, and self-improvement.
- Explore techniques for scalable memory and context management that enable reasoning over large codebases (dynamic, structurally-aware context and memory).
- Lead research into synthetic data generation, verification methods/environments and rewards for building data and capability flywheels for Gemini improvement.
- Develop high-fidelity evaluation frameworks that measure agent impact to software quality and developer productivity.