Software Engineer, Search Modalities, Search Live Quality

Minimum Qualifications:

• Bachelor's degree in Computer Science, other technical field, or equivalent practical experience
• 1 year of experience with data structures or algorithms.

Preferred Qualifications:

• 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript)

About The Job

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 develop a voice-first conversational AI experience that enables multi-turn audio interactions. Your mission is to deliver an intuitive, fluid conversational AI product with evidence-based answers through advanced modeling, refined prompt engineering, and comprehensive Trust and Safety protocols in a secure user environment.

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

• Execute model evaluations and systematically document performance metrics (wins and losses).
• Research and develop solutions to address and mitigate performance losses across the platform/organization.
• Optimize machine learning models using various technical approaches (e.g., pruning, quantization) to enhance efficiency and latency.
• Drive cross-functional collaboration to align efforts, maximize team impact, and reach across organizational boundaries.
• Implement performance improvements and new features on core Mars flows using Kotlin.