Research Scientist Intern, Computational Photography & Computer Vision (PhD)

Meta • Redmond, WA

1d • $7,650 - $12,667

About The Position

Meta Reality Labs Research seeks upcoming scientists and researchers interested in designing, modeling, and prototyping advanced vision systems for real-time, low-power, always-on processing. The role focuses on optimizing the full-stack vision system, spanning the image sensor, device processors, cloud computation, and associated algorithms. Ideal candidates have a broad understanding of computational imaging, distributed computation, computer vision, and machine learning algorithms. Internships last 12 to 24 weeks, with various start dates throughout the year.

Requirements

• Currently have or be in the process of obtaining a PhD in Computer Science, Electrical Engineering, Machine Learning, Computer Architecture, or a related field.
• Have 2 or more years of coding experience with programming languages such as Python/PyTorch.
• Have advanced experience with computer vision and modern deep learning research, including algorithm development and optimization.
• Demonstrate understanding and hands-on experience with computational imaging, including image denoising, HDR imaging, super-resolution, deblurring, or frame interpolation.
• Obtain work authorization in the country of employment by the time of hire and maintain ongoing work authorization during employment.

Nice To Haves

• Experience with lightweight machine learning on embedded systems, including model optimization and deployment.
• Experience with the full machine vision pipeline spanning cameras, ISPs, and high-level algorithms.
• A proven track record of significant results in computer vision and machine learning research, demonstrated by publications, grants, or fellowships.
• Intent to return to a degree program after completing the internship or co-op.

Responsibilities

• Support research activities focused on computational photography, end-to-end camera system optimization, and low-level vision tasks.
• Participate in developing proof-of-concept and prototype visual sensing systems.
• Interact with cross-functional engineering teams to demonstrate novel imaging systems and camera hardware.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree