Meta Reality Labs is looking to advance pioneering work in neuromotor interfaces, which could become a main pillar for interaction with the virtual and augmented world. The goal is to unleash human potential by removing bottlenecks between user intent and action.
Requirements
- Currently has, or is in the process of obtaining, a PhD in one or more of the following fields: machine learning, computational neuroscience, speech and language technologies, signal processing, electrical engineering, computer science, statistics, physics, or related fields
- Research-oriented implementation skills, including fluency in scientific Python and PyTorch, as evidenced by academic or professional research experience or contributions to open source projects
- Experience in machine learning, deep learning, computer vision, probabilistic graphical models and/or natural language processing
- Experience with scientific communication tools (e.g. jupyter, matplotlib)
- Experience with multi-channel array processing, or related topics
- Experience with real-time signal processing
Responsibilities
- Build cutting-edge machine learning models to advance neuromotor interface capabilities.
- Collaborate with engineering and Human-Computer Interactions (HCI) teams to deploy models that leverage fundamental scientific knowledge into new technology and user experiences.
- Use quantitative research methods to define, iterate upon and advance key areas of our research agenda.
- Investigate the nature of human neuromotor signals (i.e., electromyography or EMG).
- Develop novel signal processing and machine learning methods to infer a user’s intent.
- Create novel interaction techniques and user experiences.
Other
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- Intent to return to degree program after the completion of the internship
