Meta Reality Labs is looking for interns to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. This technology could become one of the main pillars for interaction with the virtual and augmented world. Help us unleash human potential by removing the bottlenecks between user intent and action. In this role you will embed with a world-class, multi-disciplinary team of researchers to 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, and create novel interaction techniques and user experiences. Our internships are twelve (12) to twenty four (24) weeks long, and we have various start dates throughout the year.
Research Scientist Intern, Neuromotor Interfaces: Computational Modeling (PhD) 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.
Minimum Qualifications
- 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
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- 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
Preferred Qualifications
- Experience with scientific communication tools (e.g. jupyter, matplotlib)
- Experience with multi-channel array processing, or related topics
- Experience in software engineering in industry
- Experience with real-time signal processing
- Intent to return to degree program after the completion of the internship
