Define and drive the multi-year research strategy and roadmap for an AI research team focused on wearables, EMG, and health sensors, balancing foundational research investments with applied machine learning deliverables Lead the development of novel AI architectures, training methodologies, and evaluation frameworks for EMG signal processing, health sensor fusion, and wearable device intelligence Establish technical direction for the team by identifying high-impact research problems in biosignal interpretation and wearable AI, scoping projects, and aligning efforts to broader organizational priorities Build and grow a high-performing team of AI researchers and engineers through hiring, mentorship, and structured development of research talent Collaborate with product, engineering, and hardware partners to translate research breakthroughs in EMG and health sensing into production wearable systems at Meta scale Drive promising research outcomes from research to production, ensuring innovative findings are successfully transitioned into scalable wearable products and features Communicate research findings and strategic recommendations to organizational leaders and cross-functional stakeholders through written reports, presentations, and design reviews Contribute to the broader AI and biosignal research community through publications, external collaborations, and participation in academic and industry venues Foster a team culture that values scientific rigor, engineering craft, and responsible AI development in alignment with Meta's values and compliance standards Identify organization-wide gaps in wearable AI and health sensing research capabilities and propose structural or strategic solutions to address them