Research Software Engineer, Multimodal AI

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.

Develop algorithms/models to enhance AI agents for XR devices using techniques like prompting, few-shot learning, post-training techniques to improve model performance and real-world XR scenarios.

Write production-quality C++/Python code and tests.

Create a comprehensive evaluation plan, from dataset development to Key Performance Indicator (KPI) definitions and measurements.

Identify, implement and ship the latest modeling innovations including, orchestration, multimodality, tool integrations, memory, hybrid agent architectures and personalization.

Demonstrate concepts through rapid prototyping and iterative development, using team testing in close partnership with the XR product teams.