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.

Research Software Engineer, Multimodal AI

Job Description