About the role#
Reality Labs is working on neural interfaces that interpret signals from the body to interact with virtual and augmented realities. This team uses non-invasive measurements like surface electromyography (EMG), inertial measurement units (IMU), and photoplethysmography (PPG) to bridge the gap between user intent and digital action. As an intern, you will join a multi-disciplinary group to study human neuromotor signals and develop machine learning methods to translate them into new interaction techniques.
What you'll do#
- Research and develop neural networks or computational models using sensor data to improve neural interface capabilities.
- Build the tools and infrastructure needed to analyze large, multimodal datasets.
- Adapt machine learning methods to run on distributed clusters and GPUs.
- Collaborate with engineering and Human-Computer Interaction (HCI) teams to turn research into prototypes and user experiences.
- Use quantitative research methods to define and advance the team's research agenda.
What you'll need#
- Currently pursuing a PhD in machine learning, computational neuroscience, speech and language technologies, signal processing, electrical engineering, computer science, statistics, physics, or a related field.
- Fluency in scientific Python and deep learning frameworks like PyTorch, demonstrated through research or open source contributions.
- Experience in machine learning, deep learning, signal processing, computer vision, probabilistic graphical models, or natural language processing.
- Must have work authorization in the country of employment at the time of hire and maintain it throughout the internship.
- Intent to return to your degree program after the internship ends.
- Experience with biosignals or wearable sensor data like EMG, IMU, PPG, or EEG.
- Experience with multi-channel array processing, real-time signal processing, or sequence modeling of time-series data.
- Experience training machine learning models at scale, including distributed or multi-GPU training.
- Experience moving research into prototypes or products, and prior industry software engineering experience.
Location & details#
- This is a full-time, paid internship.
- Work is on-site in Menlo Park, CA, Burlingame, CA, or New York, NY.
- Internships last between 12 and 24 weeks with rolling start dates.
About Meta
Meta develops software and social media applications. It operates platforms such as Facebook, Messenger, Instagram, and WhatsApp. The company maintains headquarters in Menlo Park, California. Current work focuses on augmented and virtual reality alongside artificial intelligence and machine learning.
How to get in at Meta
Landing an internship at Meta requires a proactive approach to the application process. Intern Insider sends an instant alert the moment a role matching your target is published, allowing you to apply among the first. Early applicants often have their materials reviewed before the applicant pool grows significantly. You can use Intern Insider to surface the recruiters behind specific roles at Meta. Reaching out directly to these individuals to ask about the position or a referral often improves your response rates compared to applying into a queue.
