Join Google as a Staff Engineer, Search Intelligence, and shape the future of how billions interact with information. You will contribute to next-generation technologies that extend beyond web search, tackling challenges at massive scale.

This role offers the opportunity to work on critical projects, with the flexibility to explore different teams and areas within Google as the business evolves. We are seeking versatile engineers who demonstrate leadership and an enthusiasm for solving new problems across the full stack.

Spearhead the architectural development of personalization within Google Search, driving innovation in AI for this domain.

Collaborate with a variety of technologies including Java, Kotlin, C++, and Python for model validation. You will work with internal tools and platforms such as Magi Response Server (MaRS), Superroot, QFlow, GWS plugins, and Magit/Silfra Orchestration.

Engage with advanced AI models and systems like Gemini (3.0 Pro, 3.0 Flash, V2S), Orbit/Nemo triggering classifiers, Sian (1P integrations), Anima (Search activity), and Footprints (privacy-safe storage). You will also work with online autoraters, EAS, SAIL, and Sherlog, contributing to the enhancement of search capabilities and user experiences.

A Bachelor's degree or equivalent practical experience is required.

We seek candidates with 5 years of experience in areas such as speech/audio technology, reinforcement learning, ML infrastructure, or specialized Machine Learning fields. Additionally, 5 years of experience leading ML design, optimizing ML infrastructure, and 5 years of experience in software product testing and launch are essential.

Demonstrated expertise in software design and architecture over 3 years is crucial. Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows is also a key requirement.

Preferred qualifications include a Master’s degree or PhD in a relevant technical field, 8 years of experience with data structures and algorithms, and 3 years of experience in software design and architecture. Experience building or leveraging agentic frameworks and LLM-powered automation is highly valued, as is experience with classifiers, machine learning, AI, ranking, and research.