Join Google's innovative engineering team and contribute to shaping the future of how billions of users interact with information. As a Staff Engineer on the Search Intelligence team, you will tackle complex challenges at massive scale, extending beyond traditional web search. We are seeking versatile engineers with a passion for new ideas across various domains, including information retrieval, distributed systems, large-scale system design, AI, and natural language processing.

You'll have the opportunity to work on projects critical to Google's success, with the flexibility to move between teams and projects as our fast-paced business evolves. Embrace leadership qualities and a drive to solve new problems across the full stack, pushing technological boundaries.

Drive the architectural evolution of personalization within Google Search, leveraging your expertise in AI for this domain. You will collaborate using languages like Java, Kotlin, C++, and Python, working with key systems such as MaRS, Superroot, QFlow, and Magit/Silfra Orchestration.

Your work will involve cutting-edge technologies like Gemini (3.0 Pro, 3.0 Flash, V2S), Orbit/Nemo, Sian (1P integrations), Anima, Footprints, and various autoraters. This role requires AI fluency and a readiness to discuss your knowledge of AI tools during the hiring process.

A Bachelor's degree or equivalent practical experience is required, along with a minimum of 5 years of experience in areas such as speech/audio technology, reinforcement learning, ML infrastructure, or another specialized ML field. You should also possess 5 years of experience leading ML design and optimizing ML infrastructure, including model deployment, evaluation, data processing, and fine-tuning.

Furthermore, 5 years of experience in testing and launching software products is essential, complemented by 3 years of experience in software design and architecture. Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows is also a key requirement. Preferred qualifications include a Master's or PhD in a technical field, 8 years of experience with data structures and algorithms, and experience with agentic frameworks and LLM-powered automation.