Research Scientist Intern - Artificial Intelligence-Driven Neural Interfaces

Meta; Menlo Park (CA); On-site; USD 22,000 - 47,000; Full time

Job summary

Reality Labs at Meta invites PhD research interns to advance neural interfaces that draw on non-invasive body signals such as EMG, IMU, and PPG.

You will join a world-class, multi-disciplinary team to study neuromotor signals, develop signal processing and machine learning methods, and help create AI-first interaction techniques for AR/VR.

Internships run 12 to 24 weeks with multiple start dates throughout the year.

Qualifications

• Pursuing a PhD in a field relevant to neural interfaces, signal processing, or ML.
• Strong mathematical and programming foundation.
• Experience with experimental sensor data is a plus.

Responsibilities

• Investigate neuromotor and other sensor signals to infer user intent.
• Develop signal processing and ML methods for AI-first interactions.
• Collaborate with a multi-disciplinary team to advance AR/VR interfaces.

Skills

Signal processing

Machine learning

Neuromotor signals

Education

PhD candidate or PhD in a relevant field

Job description

Reality Labs at Meta is looking for PhD research interns to advance our pioneering work in neural interfaces, which grew out of the acquisition of CTRL-labs. We're building a practical interface that draws on rich signals measured non-invasively from the body, including surface electromyography (EMG), inertial measurement units (IMU), and photoplethysmography (PPG). This technology could become one of the main pillars for interaction with virtual and augmented realities. Help us unleash human potential by removing the bottlenecks between user intent and action.

In this role you will join a world-class, multi-disciplinary team of researchers. You'll investigate the nature of human neuromotor and other sensor signals, develop new signal processing and machine learning methods to infer a user's intent, and help create AI-first new 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.