Software Engineer III, AI/ML, Search Intelligence

Google | Bengaluru, Karnataka, India. Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Experience in Software Engineering, Machine Learning, Design, Artificial Intelligence. 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. 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. At Search Intelligence India, we are evolving how users discover information. We are moving beyond traditional search links to deliver AI Mode experiences and AI Overviews that provide immediate, comprehensive answers. We use Generative AI and Machine Learning to achieve this. In this role, you will work on improving the quality of our AI Mode and AI Overview features, which are key components of the Search Results Page (SRP). You will have the opportunity to work with Generative AI and Machine Learning technologies to enhance the user experience. 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.

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