Lead the development and optimization of on-device and hybrid multimodal models for XR devices. Utilize techniques like prompting, few-shot learning, and post-training (e.g., quantization) to enhance performance and robustness while adhering to strict device power and latency constraints. Create comprehensive evaluation plans for hybrid systems, from dataset development to defining KPIs that measure model accuracy and on-device efficiency.
Identify, implement, and ship the latest modeling innovations, focusing on hybrid agent architectures, orchestration between edge and cloud, multimodality, tool integrations, and personalization. Prove out concepts for on-device AI features through rapid prototyping and iterative development, facilitating team testing and in close partnership with XR product teams. Work closely with research scientists, engineers, and product teams to drive the technical roadmap.
Foster a collaborative environment and share findings through conference publications while contributing to impactful product launches.
Job description provided by Google.
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