Research Scientist Intern, Computational Photography (PhD)

Meta

Posted 11 days ago

Internship

Burlingame, California

In Person

Smart Summary

Responsibilities

Research, develop, and prototype advanced technologies in computer vision, graphics, and machine learning. Collaborate with team members to deliver publishable research that impacts Facebook and Oculus products.

Qualifications

You are currently pursuing a PhD in computer science, electrical engineering, or a related field. You have experience in areas like Computer Vision, Machine Learning, or Computational Photography, and are proficient with modern C++ or Python and deep learning frameworks like PyTorch.

Must Have Skills for ATS

Computer Vision

Machine Learning

Computer Graphics

Image Processing

Computational Photography

C++

Python

PyTorch

Job Description

Reality Labs (RL) teams bring together a world-class R&D team of researchers, and engineers to build innovative photo, video, and AR/VR experiences. We work on technologies that ship across all Meta surfaces ranging from Facebook to Instagram to the AR/VR Oculus products. We work at the intersection of Computer Vision, Computer Graphics, and Machine Learning. The aim of this role is to develop and advance the state-of-the-art in computational photography. The goal of the internship is to contribute to a research project and contribute to new methodologies that can be experienced by billions of people around the globe.

Responsibilities
  • Responsibilities Research, develop and prototype advanced technologies in the domain of Computer Vision, Computer Graphics, and Machine Learning. Deliver research results that are both publishable and have a direct impact on Facebook and/or Oculus products. Analyze the efficiency, accuracy, scalability, and stability of currently deployed technologies to identify opportunities for impact through novel research. Collaborate with team members throughout the lifetime of a project, from research to prototyping to deploying products.


Minimum Qualifications
  • Minimum Qualifications Currently is in the process of obtaining a PhD degree in computer science, electrical engineering, or related fields Experience in one or more areas of Computer Science, such as Computer Vision, Machine Learning, Computer Graphics, Image Processing, and Computational Photography. Experience with modern C++ and/or Python. Experience with deep learning frameworks such as PyTorch


Preferred Qualifications
  • Preferred Qualifications Intent to return to their degree program after the completion of the internship Interpersonal experience: cross-group and cross-culture collaboration. Strong communication skills and ability to convey research ideas to a broad audience. Broad understanding of the full machine vision pipeline from sensors to high-level algorithms


$7,650/month to $12,667/month + benefits

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 and intelligent experiences like virtual reality, wearables and AI 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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