About the role#
This internship is part of the Surreal group within Reality Labs Research. You will focus on building novel computational and communications systems to support future contextual AI. We are looking for PhD students to join our team for 12, 16, or 24 weeks.
What you'll do#
- Build efficient systems and components for semantic compression and communication using algorithms and machine learning.
- Advance end-to-end approaches across the full pipeline, including sensor capture, wireless transmission, latent representation, and neural encoding or decoding.
- Design, develop, prototype, and analyze systems for future AI devices.
- Work with researchers across different disciplines in a cross-functional team.
What you'll need#
- Currently pursuing a PhD in Computer Science, Electrical Engineering, Computer Vision, Machine Learning, or a related field.
- Research experience in compression, communications, computer vision, digital twins, world models, or machine learning.
- At least 2 years of experience using Python or C++ for machine learning and computer vision.
- Intent to return to your degree program after the internship.
- Ability to obtain and maintain work authorization in the United States.
- A strong background in communications theory, from conventional modulation and beamforming to neural network-based approaches.
- Knowledge of end-to-end semantic communication pipelines, including source coding, feature extraction, and channel coding.
- A record of research results such as publications, patents, grants, or fellowships.
- Experience building software or system models through internships, work, or open source contributions.
- Ability to solve complex problems by comparing tradeoffs and diverse viewpoints.
Location & details#
- Location: Redmond, Washington.
- Work modality: On-site.
- Employment type: Full-time internship.
- Paid: Yes.
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.
