Research Scientist Intern, Computational Photography (PhD)

Meta

Applications Closed

Posted 6 months ago

Internship

Redmond, Washington

In Person

Smart Summary

Responsibilities

Support research activities focused on computational photography and camera system optimization. Participate in the development of proof of concept and prototype visual sensing systems.

Qualifications

We're seeking a PhD student in Computer Science, Electrical Engineering, Machine Learning, or a related field for a Research Scientist Intern position. The ideal candidate should have 2+ years of coding experience in Python/C++, advanced knowledge of computer vision and deep learning, and experience with computational imaging and machine learning on embedded systems.

Job Description

Meta Reality Labs Research is looking for upcoming scientists and researchers with great interest in designing, modeling, and prototyping advanced vision systems for real-time, low-power, always-on processing. The goal of this role is to optimize the full-stack vision system spanning from the image sensor, device processors, cloud computation, and corresponding algorithms. Ideal candidates will have a comprehensive understanding of computational imaging, distributed computation, computer vision, and machine learning algorithms, and sensor nanophotonics. Our internships are sixteen (16), to twenty-four (24) weeks long and we have various start dates throughout the year.

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

Qualifications
Currently has, or is in the process of obtaining a PhD in the fields of Computer Science, Electrical Engineering, Machine Learning, Computer Architecture, or related field 2+ years of coding experience with programming languages such as Python/C++ Advanced experience with computer vision (CV) and modern deep learning research, including algorithm development and optimization Experience in metasurfaces design Demonstrated understanding and hands-on experience with computational imaging including but not limited to: image denoising, HDR imaging, super-resolution, deblurring, frame interpolation, etc Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment 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 Proven track record of achieving significant results in CV and ML research, as well as nanophotonics, as demonstrated by publications, grants, or fellowships Intent to return to degree-program after the completion of the internship/co-op

Meta

Meta's mission is to build the future of human connection and the technology that makes it possible. Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following: • Start with an open mind. Whether you agree or disagree, engage with empathy. • Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect. • Keep it constructive. Use your interactions here to learn about and grow your understanding of others. • Our moderators are here to uphold these guidelines for the benefit of everyone, every day. • If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community). For a full listing of our jobs, visit https://www.metacareers.com

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