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Research Engineer Intern, Computer Vision/Deep Learning (PhD)

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United States  United States
Internship, Engineering, English
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Job Description:

The (COMPANY NAME) Reality Labs team at (COMPANY NAME) is helping more people around the world come together and connect through world-class Augmented, Mixed and Virtual Reality hardware and software. With global departments dedicated to AR/VR research, computer vision, haptics, social interaction, and more, we are committed to driving the state-of-the-art forward through relentless innovation. AR and VR potential to change the world is immense -- and we're just getting started. Our team explores, develops, and delivers cutting-edge scene understanding technologies that serve as the foundation of current and future (COMPANY NAME) Reality Labs products. Planar surfaces serve as the basic building blocks for many scene understanding tasks. For this internship project, we will extend our existing single-view plane reconstruction approaches to better utilize temporary image sequences. Our new approach should be able to improve plane reconstruction accuracy given video sequences.

Research Engineer Intern, Computer Vision/Deep Learning (PhD) Responsibilities

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Research, develop, and implement temporary plane reconstruction techniques.

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Understand our existing pipeline and implement new modules to enable temporal plane reconstruction.

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Communication of research project agenda, projects and results.

Minimum Qualifications

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Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Vision.

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Knowledge in one or more of the following research fields: Scene/Semantic Understanding, Multi-View Geometry.

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Strong track record with significant publications in top computer vision conferences (e.g., CVPR, ICCV, ECCV, ICLR, etc.) or journals.

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Experience with Python and PyTorch.

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Excellent interpersonal skills, cross-group and cross-culture collaboration.

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Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Preferred Qualifications

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Experience in applying machine learning / deep learning in the multi-view geometry domain (e.g. Stereo, Depth Estimation, Visual Localization)

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Demonstrated software engineer experience (via an internship, work experience, coding competitions, etc)

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High levels of creativity and quick problem solving capabilities.

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Intent to return to degree-program after the completion of the internship.

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About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When (COMPANY NAME) 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to axxxxxxxxxxxxx-xxx@xx.xxm

Source: Company website
Posted on: 15 Jan 2022
Type of job: Internship
Industry: Internet / New Media
Languages: English
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