About the role#
Meta Reality Labs Research seeks researchers to design, model, and prototype vision systems for low-power, real-time processing. You will focus on optimizing the full-stack vision system, including image sensors, device processors, and algorithms. Internships last between 12 and 24 weeks with various start dates throughout the year.
What you'll do#
- Support research on computational photography, end-to-end camera system optimization, and low-level vision tasks.
- Develop proof-of-concept and prototype visual sensing systems.
- Work with cross-functional engineering teams to demonstrate new imaging systems and camera hardware.
What you'll need#
- Current enrollment in a PhD program for Computer Science, Electrical Engineering, Machine Learning, Computer Architecture, or a related field.
- At least 2 years of coding experience using Python or PyTorch.
- Advanced experience in computer vision and modern deep learning research, including algorithm development and optimization.
- Hands-on experience with computational imaging, such as image denoising, HDR imaging, super-resolution, deblurring, and frame interpolation.
- Experience with lightweight machine learning on embedded systems, including model optimization and deployment.
- Experience with the full machine vision pipeline, including cameras, ISPs, and high-level algorithms.
- A track record of research results shown through publications, grants, or fellowships.
- Intent to return to your degree program after the internship.
- Ability to obtain and maintain work authorization in the United States.
Location & details#
- Location: Redmond, Washington.
- Modality: On-site.
- Compensation: $7,650 to $12,667 per month.
- Employment: Full-time internship.
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.
