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Job Description
- Lead the development and optimization of on-device and hybrid multimodal models for XR devices. Utilize techniques to enhance performance and robustness while adhering to strict device power and latency constraints. Write production-quality C++ and Python code.
- Create comprehensive evaluation plans for hybrid systems, from dataset development to defining KPIs that measure both 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 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 product launches.