Research Scientist, Machine Learning & Signal Processing [Technical Leadership]

About the job

Meta is seeking a Research Scientist to lead applied AI initiatives at the intersection of wearable technology and AI modeling of diverse sensors, including EMG, motion sensors, audio, and video. In this role, you will define and drive the scientific agenda for a team of AI research scientists, computational neuroscientists, and machine learning engineers, shaping the direction of next-generation AI capabilities that power Meta's wearable devices and health-focused experiences. You will operate at the frontier of AI research for human-computer interaction, translating scientific advances in biosignal interpretation into scalable systems with measurable product impact.

Responsibilities

Define and drive the research strategy and roadmap for an AI research team focused on wearables, EMG, and wearable sensors, balancing applied machine learning investments with product deliverables Lead the development of novel AI architectures, training methodologies, and evaluation frameworks for EMG signal processing, sensor fusion, and wearable device intelligence Establish technical direction for the team by identifying high-impact research problems in sensor signal 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 sensing into production wearable systems at Meta's 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 Foster a team culture that values scientific rigor, engineering craft, and responsible AI development in alignment with Meta's values and compliance standards