Software Engineer, Search

Google develops next-generation technologies for billions of users worldwide.
Backend
Mid-Level Software Engineer
In-Person
2+ years of experience
AI

Description For Software Engineer, Search

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.

As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will power next-gen Guided Wholepage Search experiences by building new capabilities to meet the bar for quality, freshness and diversity of content required to deliver such amazing experiences. You will partner with various product teams to integrate these quality capabilities into end user experiences for broad and exploration seeking queries, and own building out the user facing Guided product experience for narrow Q&A queries entirely.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities:

  1. Design and develop across the full spectrum of what it takes to deliver amazing end user experiences spanning: quality (signals, retrieval, ranking, AI/ML), backend work (including latency sensitive serving code, large-scale distributed systems), and user facing feature development (front end).
  2. Run experiments, drive analysis, and make data-driven tradeoffs for product directions.
  3. Collaborate closely with partner engineering and cross-functional teams in verticals, as well in other partner organizations to develop new quality capabilities and build and launch new, highly visible features.
Last updated a month ago

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