Research Scientist - Wearables, Input & Interaction (Technical Leadership)

Reality Labs at Meta is seeking Research Scientists with experience in machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical neural interface drawing on the rich neuromotor signals that can be measured non-invasively with single motor neuron resolution. This technology will become one of the main pillars for interaction with the virtual and augmented world.

We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals (i.e., electromyography or EMG), developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action.

EMG signals are similar in many ways to other neural signals and audio signals and can be analyzed using many of the same approaches. For example, the task of transcribing characters typed on a keyboard from wrist-based EMG is closely analogous to that of automatic speech recognition. We're looking for people who want to shape the future of this technology and explore this exciting new territory with us.

As a Research Scientist in this role, you will:

• Build cutting-edge machine learning and signal processing models to advance neuromotor interface capabilities.
• Collaborate with engineering and HCI teams to deploy models into new technology and user experiences.
• Use quantitative research methods to define, iterate upon and advance key areas of our research agenda.
• Develop research-grade code for deployment in research prototypes.
• Work across organizational boundaries to solve our biggest problems.

Join us in shaping the future of human-computer interaction and be part of the team that's revolutionizing how we interact with virtual and augmented worlds.